CN107966159A - Method for the navigation equipment of motor vehicle and for the motor vehicle that navigates - Google Patents
Method for the navigation equipment of motor vehicle and for the motor vehicle that navigates Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P21/00—Testing or calibrating of apparatus or devices covered by the preceding groups
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
- G01S19/48—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system
- G01S19/49—Determining position by combining or switching between position solutions derived from the satellite radio beacon positioning system and position solutions derived from a further system whereby the further system is an inertial position system, e.g. loosely-coupled
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/10—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
- G01C21/12—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
- G01C21/16—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
- G01C21/166—Mechanical, construction or arrangement details of inertial navigation systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P13/00—Indicating or recording presence, absence, or direction, of movement
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
- G01S19/45—Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
- G01P15/18—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration in two or more dimensions
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/01—Determining conditions which influence positioning, e.g. radio environment, state of motion or energy consumption
- G01S5/017—Detecting state or type of motion
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- Radar, Positioning & Navigation (AREA)
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- General Physics & Mathematics (AREA)
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Abstract
Description
技术领域technical field
本发明涉及用于机动车的导航设备以及用于导航机动车的方法。The invention relates to a navigation device for a motor vehicle and a method for navigating a motor vehicle.
背景技术Background technique
从现有技术中已知导航设备,其包括用于确定有待导航的机动车的加速度的加速度传感器。这个加速度传感器被布置在机动车内以检测加速度数据。然而为了评价所述加速度数据,需要了解加速度传感器在机动车中的准确位置。只有这样,所测量的加速度数据才能够相关于所述机动车的定向来设置。为了获取加速度传感器在机动车中的准确安装位置,还已知的是,在安装加速度传感器时确定安装位置。然而在此不利的是,在安装时经常不会准确地确定安装位置,并且随后不会进一步检查安装位置。作为备选方案,能够采用另外的传感器,其任务是,获取加速度传感器在机动车中的安装位置。然而这样的解决方案是繁琐的并且会关联到其他电子装置。Navigation devices are known from the prior art which include acceleration sensors for determining the acceleration of the motor vehicle to be navigated. This acceleration sensor is arranged in the motor vehicle to detect acceleration data. In order to evaluate the acceleration data, however, the exact position of the acceleration sensor in the motor vehicle needs to be known. Only in this way can the measured acceleration data be adjusted in relation to the orientation of the motor vehicle. In order to determine the exact installation position of the acceleration sensor in the motor vehicle, it is also known to determine the installation position when installing the acceleration sensor. The disadvantage here, however, is that the mounting position is often not accurately determined during mounting and is not subsequently checked further. Alternatively, further sensors can be used whose task is to detect the installation position of the acceleration sensor in the motor vehicle. However such solutions are cumbersome and involve other electronic devices.
发明内容Contents of the invention
本发明的任务在于,改善用于机动车的导航设备,使得能够无需另外的传感器而确定并可检查加速度传感器的安装位置。此外,相应地扩展用于导航机动车的方法。The object of the present invention is to improve a navigation system for a motor vehicle such that the installation position of an acceleration sensor can be determined and checked without additional sensors. Furthermore, the method for navigating a motor vehicle is correspondingly expanded.
此任务通过用于机动车的导航设备来解决,包括用于确定机动车的加速度数据的加速度传感器,其中加速度传感器在机动车中被布置在、尤其装入在安装位置中。根据本发明的加速度传感器被构造用于确定所述安装位置。换言之,加速度传感器本身被构造用于获取其自身在所述机动车中的安装位置。为了获取准确的安装位置,不需要另外的传感器。加速度传感器为了获取其安装位置所需的唯一的数据是由所述加速度传感器所测量的机动车的加速度数据以及关于加速度传感器的坐标系一次性确定的数据。尤其地,加速度传感器的坐标系已经被一次性确定。这在大多情况下由加速度传感器的制造者进行。加速度传感器的x轴、y轴和z轴被一次性确定,其中能够输出加速度传感器关于这些轴的加速度数据。加速度传感器的三维的笛卡尔坐标系、尤其是右手坐标系在下文中被称为传感器坐标系。加速度传感器尤其指的是3D加速度传感器,其优选连续地在所有三个轴(x、y和z)上测量加速度。This object is solved by a navigation device for a motor vehicle comprising an acceleration sensor for determining acceleration data of the motor vehicle, wherein the acceleration sensor is arranged, in particular incorporated, in an installation location in the motor vehicle. The acceleration sensor according to the invention is designed to determine the installation position. In other words, the acceleration sensor itself is designed to detect its own installation position in the motor vehicle. In order to obtain the exact mounting position, no additional sensors are required. The only data required for the acceleration sensor to determine its installation position are the acceleration data of the motor vehicle measured by the acceleration sensor and the data once determined with respect to the coordinate system of the acceleration sensor. In particular, the coordinate system of the acceleration sensor has been determined once. This is usually done by the manufacturer of the acceleration sensor. The x-axis, y-axis and z-axis of the acceleration sensor are determined at once, wherein acceleration data of the acceleration sensor with respect to these axes can be output. The three-dimensional Cartesian coordinate system, in particular the right-handed coordinate system, of the acceleration sensor is referred to below as the sensor coordinate system. Acceleration sensors refer in particular to 3D acceleration sensors which preferably measure acceleration continuously in all three axes (x, y and z).
所述机动车还具有自身的坐标系,该坐标系在下文中被称为车辆坐标系。车辆坐标系也是三维的笛卡尔坐标系、尤其是右手坐标系。在此,坐标系的x轴对应车辆的直线行驶方向,而z轴垂直于车辆所位于的平面并且向上指向。y轴指向机动车的侧面。The motor vehicle also has its own coordinate system, which is referred to below as the vehicle coordinate system. The vehicle coordinate system is also a three-dimensional Cartesian coordinate system, especially a right-handed coordinate system. Here, the x-axis of the coordinate system corresponds to the straight-line driving direction of the vehicle, while the z-axis is perpendicular to the plane on which the vehicle is located and points upwards. The y-axis points to the side of the motor vehicle.
理想地,传感器坐标系和车辆坐标系彼此一致,或者两个不同的坐标系的相应轴彼此平行。然而,在实际中通常总是出现传感器坐标系不对应于车辆坐标系。尤其地,传感器x轴以角度αx偏离车辆坐标系的x轴。同样的情况也适用于传感器坐标系的y轴和z轴,它们同样以角度αy和αz偏离于车辆坐标系的相应轴。前述的角度被定义为安装角。换言之,安装角表示车辆坐标系如何能够被转化到传感器坐标系中,或者反过来。这通过由安装角确定的旋转实现。Ideally, the sensor coordinate system and the vehicle coordinate system coincide with each other, or the corresponding axes of the two different coordinate systems are parallel to each other. However, it often occurs in practice that the sensor coordinate system does not correspond to the vehicle coordinate system. In particular, the sensor x-axis is offset by an angle α x from the x-axis of the vehicle coordinate system. The same applies to the y- and z-axes of the sensor coordinate system, which are likewise offset by angles αy and αz from the corresponding axes of the vehicle coordinate system. The aforementioned angle is defined as the installation angle. In other words, the mounting angle indicates how the vehicle coordinate system can be transformed into the sensor coordinate system, or vice versa. This is achieved by a rotation determined by the mounting angle.
有利地,用于机动车的导航设备被构造为,通过获取安装角来确定加速度传感器的安装位置。机动车尤其可以被构造为四轮的或者两轮的。Advantageously, the navigation device for a motor vehicle is designed to determine the installation position of the acceleration sensor by ascertaining the installation angle. In particular, the motor vehicle can be configured as four-wheeled or two-wheeled.
本发明包括用于导航机动车的方法,其中使用根据本发明的加速度传感器。在此,所述方法包括确定加速度传感器的安装位置,以用于获取机动车的加速度数据。尤其是连续地确定安装位置。另外,优选自动地确定安装位置,并且还优选不使用另外的传感器来确定安装位置。The invention includes a method for navigating a motor vehicle, in which an acceleration sensor according to the invention is used. In this case, the method includes determining an installation location of an acceleration sensor for acquiring acceleration data of the motor vehicle. In particular, the installation position is determined continuously. In addition, the installation position is preferably determined automatically, and it is also preferable not to use an additional sensor for determining the installation position.
为了获取安装角,识别机动车的运动。为此,由加速度传感器所识别到的或所接收到的当前时刻的加速度数据与以前的、即至少更早时刻所识别到或所接收到的加速度数据进行比较。当前接收的加速度数据与以前接收的加速度数据所形成的差与事先规定的阈值进行比较。只要当前时刻接收的加速度数据与以前接收的加速度数据之间的差超过所规定的阈值,则识别到状态“运动”。尤其地,所述方法包括比较、优选连续地比较当前接收的加速度数据与以前接收的加速度数据。此外,与事先规定的阈值的比较优选连续地进行。只有在超过阈值时,才将车辆状态归为具体状态“运动”,或者说先前识别的车辆状态被改变。为了防止波动,该方法步骤通过滞后来解耦。In order to obtain the mounting angle, the movement of the motor vehicle is detected. For this purpose, the current acceleration data detected or received by the acceleration sensor are compared with previous, ie at least earlier detected or received acceleration data. The difference between the currently received acceleration data and the previously received acceleration data is compared with a predetermined threshold value. The state "moving" is detected as soon as the difference between the acceleration data received at the present time and the acceleration data received previously exceeds a defined threshold value. In particular, the method comprises comparing, preferably continuously comparing, currently received acceleration data with previously received acceleration data. Furthermore, the comparison with a predetermined threshold value preferably takes place continuously. Only when a threshold is exceeded is the vehicle state assigned to the specific state "Motion", or a previously identified vehicle state is changed. To prevent fluctuations, the method steps are decoupled by hysteresis.
在低于所述阈值时,先前识别的运动状态被维持,并且不分配新的运动状态。Below the threshold, previously identified motion states are maintained and no new motion states are assigned.
另外优选地,所述方法包括识别状态“没有运动”。通过获取加速度值变化量,区别状态“没有运动”与具有恒定速度的状态“运动”。也就是说,优选连续地获取当前加速度值与不久前(例如一秒前)测量的加速度值的变化量。在此尤其是充分利用了静止的车辆相比于以恒定速度行驶的车辆提供明显更小的变化量的效应。理论上,在两种情况中(车辆静止,车辆以恒定速度行驶)加速度都是零。在实践中,以恒定速度行驶的车辆连续地经受不同的加速度,这些加速度由于在以恒定速度行驶期间存在的马达振动、道路不平整、最小的转向运动等而出现。也就是说,在实际运动的车辆中的“噪音”、即加速度值变化量显著高于在静止车辆中,该加速度值变化量尤其与事先规定的阈值比较。如果变化量超过了阈值,则识别为恒速运动,如果低于阈值,则识别为状态“没有运动”。Further preferably, the method includes identifying the state "no motion". The state "no motion" is distinguished from the state "motion" with constant velocity by obtaining the amount of change in the acceleration value. That is, it is preferable to continuously acquire the amount of change between the current acceleration value and the acceleration value measured not long ago (for example, one second ago). In particular, the effect that a stationary vehicle provides significantly smaller variations than a vehicle traveling at a constant speed is exploited here. Theoretically, the acceleration is zero in both cases (vehicle stationary, vehicle traveling at constant speed). In practice, a vehicle traveling at a constant speed is continuously subjected to different accelerations which occur due to motor vibrations, road irregularities, minimal steering movements, etc., which are present during traveling at a constant speed. This means that the "noise", ie the change in the acceleration value, which is compared in particular with a predefined threshold value, is significantly higher in a vehicle that is actually moving than in a stationary vehicle. If the amount of change exceeds the threshold, it is identified as constant speed motion, and if it is below the threshold, it is identified as the state "no motion".
有利地,在状态“运动”过渡到状态“没有运动”时,识别为状态“制动”。只要识别到所述状态“制动”,则尤其形成制动向量或制动方向向量。所述制动向量尤其由在状态“制动”时刻所接收的加速度数据和先前接收的加速度数据形成。先前接收的加速度数据在时间上在识别到状态“制动”前回溯例如至多5秒、优选3秒、尤其2秒。有利地,所述方法获取制动向量的模,并且当制动向量就其模而言很小时,弃用所形成的制动向量。为此,模必须超过规定的限度。这被用于消除错误识别的状态。Advantageously, the state "braking" is recognized when the state "moving" transitions into the state "no moving". As soon as the state "braking" is detected, in particular a braking vector or a braking direction vector is formed. The braking vector is formed in particular from acceleration data received at the moment of the state "braking" and previously received acceleration data. The previously received acceleration data are traced back in time, for example at most 5 seconds, preferably 3 seconds, in particular 2 seconds, before the state "braking" is detected. Advantageously, the method acquires the magnitude of the braking vector and discards the resulting braking vector when the braking vector is small with respect to its magnitude. For this, the modulus must exceed the specified limits. This is used to eliminate misidentified states.
制动向量是非常重要的测量结果,因为该制动向量指向车辆的负x方向。因此,制动向量定义了车辆坐标系的负x方向。从制动向量中由此可以导出车辆坐标系的x轴。The braking vector is a very important measurement because this braking vector points in the negative x direction of the vehicle. Therefore, the braking vector defines the negative x-direction of the vehicle coordinate system. The x-axis of the vehicle coordinate system can thus be derived from the braking vector.
另外优选地,所述方法在识别到状态“没有运动”时,由在状态“没有运动”时刻所接收的加速度数据形成重力向量。只要车辆处于状态“没有运动”中,加速度传感器就仅测量指向车辆正z方向的重力加速度。因此,重力向量或者换言之重力方向向量指向车辆坐标系的正z方向。Further preferably, the method forms a gravity vector from the acceleration data received at the moment of the state "no motion" when the state "no motion" is detected. As long as the vehicle is in the state "no motion", the acceleration sensor only measures the gravitational acceleration pointing in the positive z direction of the vehicle. Thus, the gravity vector or in other words the gravity direction vector points in the positive z direction of the vehicle coordinate system.
优选地,制动向量和重力向量以时间上彼此紧邻的间距被测量。这意味着,在状态“运动”过渡到状态“没有运动”中并由此识别到状态“制动”时,不仅形成制动向量,而且直接随后形成重力向量。Preferably, the braking vector and the gravity vector are measured at a temporally close distance from one another. This means that when the state "moving" transitions into the state "no moving" and thus the state "braking" is detected, not only a braking vector is formed, but also a gravity vector is formed immediately thereafter.
对于认知车辆坐标系的最小前提是两个线性无关的向量,这两个向量通过制动向量和重力向量确定,因为y轴自动地从其它的两个轴得到。通过加速度传感器拥有关于自身的传感器坐标系的认知,则加速度传感器能够获取在车辆坐标系的所确定的轴与其自身坐标系的已知的轴之间的安装角。该安装角由两个不同坐标系的向量借助于数量积来形成。The minimum prerequisite for knowing the vehicle coordinate system is two linearly independent vectors, which are determined by the braking vector and the gravity vector, since the y-axis is automatically derived from the other two axes. Since the acceleration sensor has knowledge of its own sensor coordinate system, the acceleration sensor can determine the installation angle between a determined axis of the vehicle coordinate system and a known axis of its own coordinate system. This installation angle is formed from the vectors of two different coordinate systems by means of the product of quantities.
尤其地,所述方法包括由安装角形成旋转矩阵,其中旋转矩阵限定了在两个不同的坐标系之间的旋转。借助于旋转矩阵,能够获取机动车关于其坐标系的实际加速度向量。In particular, the method comprises forming a rotation matrix from the mounting angles, wherein the rotation matrix defines a rotation between two different coordinate systems. With the aid of the rotation matrix, the actual acceleration vector of the motor vehicle with respect to its coordinate system can be obtained.
优选连续地获取安装位置。尤其当识别到状态“制动”并且制动向量就模而言足够大时,始终进行安装位置的获取。由此达到对加速度传感器的安装位置的持续性自校准,并且由此确保所获取的车辆加速度数据始终尽可能正确。The mounting positions are preferably detected continuously. In particular, the installation position is always detected when the state "braking" is detected and the braking vector is sufficiently large in terms of modulus. This achieves a continuous self-calibration of the installation position of the acceleration sensor and thus ensures that the acquired vehicle acceleration data are always as correct as possible.
所获取的用于计算安装角的数据(即重力向量和制动向量)被聚集在存储器中,并且每个新计算的数据集与已经存在于存储器中的数据集进行比较。如果与在存储器中先前存在的数据集的偏差过大,也即超过了事先规定的限度,则该数据集被标记为无效并且由此被弃用。如果与在存储器中现存有效的数据集的偏差很小,也即低于规定的限度,则该数据集被标记为有效并且被使用。经过存储器形成了关于所有有效角在统计上的最佳数据集。另外,优选使用例如平均值、中值、众数和/或类似的数学方法。利用所获取的最佳数据集的值来确定旋转角。这些旋转角说明了加速度传感器的准确的安装位置。The data acquired for calculating the installation angle (ie the gravity vector and the braking vector) are gathered in memory and each newly calculated data set is compared with the data set already present in memory. If the deviation from the data set previously present in the memory is too great, ie exceeds a predetermined limit, the data set is marked as invalid and thus discarded. If the deviation from the valid data set present in the memory is small, ie below a defined limit, the data set is marked as valid and used. A statistically optimal data set for all active angles is formed via the memory. In addition, mathematical methods such as mean, median, mode and/or the like are preferably used. Use the value of the best data set acquired to determine the rotation angle. These rotation angles define the exact mounting position of the acceleration sensor.
尤其地,所述方法同样包括使用GPS数据,以用于确定加速度传感器的安装位置。只要采用两轮车、主要摩托车作为机动车,则GPS数据的使用尤其是有利的。两轮车的特征在于,这些两轮车在制动之后直至静止状态由于其侧倾而不总是直线和平静的,使得仅基于由加速度传感器所测量的数据确定静止状态会变得困难。为了平衡这种效果,借助于GPS信号来识别从先前的平静行驶开始的加速或制动。据此前提是先前的平静行驶。也就是说,所述方法包括恒定地读取GPS数据。只有当满足了下述条件时,才识别安装位置:In particular, the method also includes the use of GPS data for determining the installation position of the acceleration sensor. The use of GPS data is especially advantageous as long as two-wheelers, mostly motorcycles, are used as motor vehicles. Two-wheeled vehicles are characterized in that they are not always straight and calm after braking up to a standstill due to their roll, making it difficult to determine a standstill based only on data measured by an acceleration sensor. In order to counteract this effect, acceleration or braking from a previous calm driving is detected with the aid of the GPS signal. This presupposes the previous calm driving. That is, the method includes constantly reading GPS data. The installation location is only recognized if the following conditions are fulfilled:
·车辆直线行驶,也就是说GPS方向是恒定的。· The vehicle travels in a straight line, which means that the GPS direction is constant.
·车辆无坡度地行驶,也就是说GPS高度是恒定的。• The vehicle travels without a slope, which means that the GPS altitude is constant.
·车辆以恒定的速度行驶,也就是说GPS地面速度(关于地面、例如关于海平面的GPS速度)是恒定的。• The vehicle travels at a constant speed, that is to say the GPS ground speed (GPS speed with respect to the ground, for example with respect to sea level) is constant.
只要达到了以上描述的车辆状态,则该车辆以恒定的速度行驶,从而不出现加速度。同样在该情况中,仅由加速度传感器测量重力加速度,从而从这些数据中能够确定重力向量。As long as the vehicle state described above is reached, the vehicle travels at a constant speed, so that no acceleration occurs. Also in this case, only the gravitational acceleration is measured by the acceleration sensor, so that the gravitational vector can be determined from these data.
如果从上述的状态中识别到显著的GPS速度变化,则车辆已从平静行驶中加速或制动。根据上述方法,关于该状态变化的加速度向量或制动向量再次被用于确定安装位置。在此基于GPS数据也可以使用正的加速度向量,也即指向车辆的正x方向的加速度向量。对正的加速度的有误解释通过GPS信息被排除。If a significant GPS speed change is identified from the conditions described above, the vehicle has accelerated or braked from calm driving. According to the method described above, the acceleration vector or braking vector for this state change is again used to determine the installation position. Based on the GPS data, positive acceleration vectors, ie acceleration vectors pointing in the positive x-direction of the vehicle, can also be used here. Misinterpretations of positive accelerations were ruled out by GPS information.
附图说明Description of drawings
以下依据附图示例性地详细阐释本发明。其中在示意图中示出:The invention is explained in detail below by way of example with reference to the drawings. Which is shown in the schematic diagram:
图1:具有传感器坐标系的传感器和具有车辆坐标系的机动车;Figure 1: Sensor with sensor coordinate system and motor vehicle with vehicle coordinate system;
图2:机动车的运动状态的状态图表;并且FIG. 2 : a state diagram of the state of motion of the motor vehicle; and
图3:不同变量在机动车的状态改变时的时间进程。Figure 3: Time course of different variables as the state of the motor vehicle changes.
具体实施方式Detailed ways
图1在左半张图中示出了加速度传感器10,关于该加速度传感器定义了传感器坐标系12。传感器坐标系12包括x轴12a、y轴12b和z轴12c。在图1的右半张图中示出了具有车辆坐标系13的机动车11。车辆坐标系13也包括x轴13a、y轴13b和z轴13c。FIG. 1 shows in the left half of the diagram an acceleration sensor 10 , about which a sensor coordinate system 12 is defined. The sensor coordinate system 12 includes an x-axis 12a, a y-axis 12b and a z-axis 12c. Motor vehicle 11 with vehicle coordinate system 13 is shown in the right half of FIG. 1 . The vehicle coordinate system 13 also includes an x-axis 13a, a y-axis 13b and a z-axis 13c.
加速度传感器10被布置在机动车11中。典型地,在安装加速度传感器10之后,该加速度传感器的坐标轴12a、12b、12c不与车辆坐标系13的轴13a、13b、13c一致,而是相应的轴对12a和13a、12b和13b、12c和13c彼此处于一个角度。在传感器坐标系12的x轴12a与车辆坐标系13的x轴13a之间的角称为角αx。相应地,在不同坐标系的y轴或z轴之间的角形成角αy和αz。这些角被称为安装角。为了能够使用由加速度传感器10所测量的涉及机动车11的加速度数据,必须关于车辆坐标系13来评估这些数据。为此需要确定安装角,从而使所测量的加速度数据能够借助于由安装角形成的旋转矩阵被换算到车辆坐标系13中。Acceleration sensor 10 is arranged in motor vehicle 11 . Typically, after the acceleration sensor 10 is installed, the coordinate axes 12a, 12b, 12c of the acceleration sensor do not coincide with the axes 13a, 13b, 13c of the vehicle coordinate system 13, but the corresponding axis pairs 12a and 13a, 12b and 13b, 12c and 13c are at an angle to each other. The angle between the x-axis 12 a of the sensor coordinate system 12 and the x-axis 13 a of the vehicle coordinate system 13 is referred to as angle α x . Correspondingly, angles between the y-axes or the z-axes of the different coordinate systems form the angles α y and α z . These angles are called installation angles. In order to be able to use acceleration data measured by acceleration sensor 10 relating to motor vehicle 11 , these data must be evaluated with respect to vehicle coordinate system 13 . For this purpose, the installation angle needs to be determined, so that the measured acceleration data can be converted into the vehicle coordinate system 13 by means of the rotation matrix formed by the installation angle.
在图2中示出了机动车11的不同的运动状态14。在图的上部示出了状态“没有运动”16,而在图的下部示出了状态“运动”15。只要在状态“运动”15上识别到状态“没有运动”16,则识别到状态“制动”17。Different states of motion 14 of motor vehicle 11 are shown in FIG. 2 . The state "no movement" 16 is shown in the upper part of the figure, while the state "movement" 15 is shown in the lower part of the figure. As soon as the state “no motion” 16 is detected above the state “movement” 15 , the state “braking” 17 is detected.
与此不同,只要运动状态14从状态“没有运动”16变换到状态“运动”15,则识别到状态“刚启动”18。每次当加速度传感器10识别到状态“制动”17时,则该加速度传感器获取重力向量以及制动向量并且能够从这两个线性无关的向量中获取车辆坐标系13并由此确定安装角。In contrast, the state “just started” 18 is recognized as soon as the state of motion 14 changes from state “no motion” 16 to state “motion” 15 . Whenever the acceleration sensor 10 detects the state “braking” 17 , it detects the gravity vector and the braking vector and from these two linearly independent vectors can determine the vehicle coordinate system 13 and thus determine the installation angle.
在图3中示出了不同变量在机动车11转换运动状态14时的时间进程。在此,图3在四个图形中关于时间19示出了彼此呈时间关系的不同变量。FIG. 3 shows the time course of various variables when motor vehicle 11 switches motion state 14 . In this case, FIG. 3 shows different variables in four graphs with respect to time 19 in a temporal relationship to one another.
在从上面数的第二图形中示出了机动车11的实际运动20。在从上面数的第三图形中示出了速度21,并且在最下面的图形中示出了加速度22。最下面的图形由此简化示出了加速度传感器10基于实际运动20测量的数据。在从上面数的第一图形中示出了由加速度传感器10所获取的运动状态14。The actual movement 20 of the motor vehicle 11 is shown in the second diagram from the top. Velocity 21 is shown in the third graph from the top, and acceleration 22 is shown in the bottommost graph. The lowermost graph thus shows in simplified form the data measured by acceleration sensor 10 based on actual movement 20 . The motion state 14 detected by the acceleration sensor 10 is shown in the first graph from the top.
正如从上面数的第二图形中可见的那样,机动车11在开始时不运动。这意味着,速度21和加速度22是零。加速度传感器因此仅测量到噪音,从而该加速度传感器将运动归为状态“没有运动”16。准确地说,加速度传感器10在这样的情况中仅测量到基于重力的恒定的重力加速度。As can be seen from the second figure counted above, the motor vehicle 11 initially does not move. This means that velocity 21 and acceleration 22 are zero. The acceleration sensor therefore only measures noise, so that it assigns the movement to the state “no movement” 16 . To be precise, acceleration sensor 10 in this case only measures a constant gravitational acceleration due to gravity.
然后,机动车11本身开始运动。这意味着,速度21增大。机动车11在加速时间26内变得更快。这点也在最下面的图形中被示出,其中加速度22首先增大然后保持大约恒定。在关于机动车11的启动的延迟时间24之后,机动车11的运动被归为状态“刚启动”18。接下来被归为状态“运动”15。Motor vehicle 11 then starts moving itself. This means that the speed 21 increases. Motor vehicle 11 becomes faster during acceleration time 26 . This is also shown in the bottommost graph, where the acceleration 22 first increases and then remains approximately constant. After a delay time 24 related to the start of the motor vehicle 11 , the movement of the motor vehicle 11 is assigned to the state “just started” 18 . Subsequent to being classified as state "Motion" 15.
在机动车11接下来以恒定的速度21运动期间,加速度传感器11获取到没有加速度22(除了恒定的重力加速度)。然而,因为运动识别部由于较大的噪音值而连续地确定到变化量值(当前的加速度值-以前的加速度值),该变化量值高于用于识别静止状态的阈值,所以能够排除静止状态,从而机动车11肯定以恒定的速度21运动。因此保持状态“运动”15。During the subsequent movement of motor vehicle 11 at constant speed 21 , acceleration sensor 11 detects no acceleration 22 (except for the constant gravitational acceleration). However, because the motion recognition part continuously determines a variation value (current acceleration value−previous acceleration value) that is higher than the threshold value for identifying a static state due to a larger noise value, it is possible to exclude the stationary state. state, so that the motor vehicle 11 must be moving at a constant speed 21 . The state "Motion" 15 is therefore maintained.
在制动时间27内,速度21减小,直到静止状态。在制动时间27内,加速度传感器11检测到负的加速度22。接下来,加速度传感器11测量到没有加速度22(除了恒定的重力加速度)。加速度传感器在延迟时间25之后获取状态“制动”17。接下来,加速度传感器10将机动车11的运动归为状态“没有运动”16。During the braking time 27, the speed 21 decreases until the standstill. During the braking time 27 , the acceleration sensor 11 detects a negative acceleration 22 . Next, the acceleration sensor 11 measures no acceleration 22 (except for constant gravitational acceleration). The acceleration sensor acquires the state “braking” 17 after a delay time 25 . Acceleration sensor 10 then assigns the movement of motor vehicle 11 to state “no movement” 16 .
在每次从状态“运动”15到状态“没有运动”16的过渡中,也即识别到状态“制动”17时,不仅形成重力向量,该重力向量基于状态“没有运动”的数据,而且形成制动向量,该制动向量由在状态“制动”17和先前一个时段期间所测量的加速度数据而被获取。由于在制动方面的时间延迟25,在识别到状态“状态”17之前的该时段包括实际的制动过程。In each transition from the state "Motion" 15 to the state "No Motion" 16, that is, when the state "Braking" 17 is recognized, not only a gravity vector is formed, which is based on the data of the state "No Motion", but also A braking vector is formed, which is obtained from the acceleration data measured during the state "braking" 17 and the preceding period. Due to the time delay 25 in braking, the period before the state “state” 17 is detected includes the actual braking process.
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| DE102019215671A1 (en) * | 2019-10-11 | 2021-04-15 | Zf Friedrichshafen Ag | Method for assigning measured values of an acceleration sensor to directions of acceleration of a motor vehicle and control unit |
| DE102020205587A1 (en) * | 2020-05-04 | 2021-11-04 | Robert Bosch Gesellschaft mit beschränkter Haftung | Method and control device for detecting vehicle movement of a vehicle |
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| US20120136529A1 (en) * | 2009-12-22 | 2012-05-31 | Modena Enterprises, Llc | Systems and methods for identifying an activity of a user based on a chronological order of detected movements of a computing device |
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