Pao et al., 2023 - Google Patents

Wind tunnel testing methodology for autonomous vehicle optical sensors in adverse weather conditions

Pao et al., 2023

Document ID
4354440849021836906
Author
Pao W
Li L
Howorth J
Agelin-Chaab M
Roy L
Knutzen J
Baltazar y Jimenez A
Muenker K
Publication year
Publication venue
International Stuttgart Symposium

External Links

Snippet

The transportation sector has been making great strides in recent years toward developing autonomous vehicles (AVs), which are envisioned to benefit society in terms of safety, convenience, and precision. AVs rely heavily on optical sensors such as LiDARs and …
Continue reading at link.springer.com (other versions)

Classifications

    • 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
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M17/00—Testing of vehicles
    • G01M17/007—Testing of vehicles of wheeled or endless-tracked vehicles
    • 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
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
    • 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
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/02—Mechanical
    • G01N2201/021—Special mounting in general
    • G01N2201/0216—Vehicle borne
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR
    • G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for

Similar Documents

Publication Publication Date Title
Lambert et al. Performance analysis of 10 models of 3D LiDARs for automated driving
US20230177819A1 (en) Data synthesis for autonomous control systems
US11514343B2 (en) Simulating degraded sensor data
US12505267B2 (en) High fidelity simulations for autonomous vehicles based on retro-reflection metrology
Pao et al. Wind tunnel testing methodology for autonomous vehicle optical sensors in adverse weather conditions
Chaabani et al. A neural network approach to visibility range estimation under foggy weather conditions
Sezgin et al. Safe autonomous driving in adverse weather: Sensor evaluation and performance monitoring
US20180060725A1 (en) Physics Modeling for Radar and Ultrasonic Sensors
CN113888463B (en) Wheel rotation angle detection method and device, electronic equipment and storage medium
Rivero et al. The effect of spray water on an automotive LIDAR sensor: A real-time simulation study
US12541027B2 (en) Lidar simulation system
US12181584B2 (en) Systems and methods for monitoring LiDAR sensor health
Pao et al. Wind-driven rain effects on automotive camera and LiDAR performances
Li et al. An investigation of ADAS camera performance degradation using a realistic rain simulation system in wind tunnel
US20240418837A1 (en) METHOD AND SYSTEM FOR BALANCED MULTI-OBJECTIVE BLACK-BOX OPTIMIZATION (MOO) OF LiDAR SENSOR HYPERPARAMETERS
Li et al. Robustness of visual perception system in progressive challenging weather scenarios
Pao et al. Perceived rain dynamics on hydrophilic/hydrophobic lens surfaces and their influences on vehicle camera performance
Pao et al. A method of evaluating ADAS camera performance in rain–case studies with hydrophilic and hydrophobic lenses
Brzozowski et al. Problems related to the operation of autonomous vehicles in adverse weather conditions
Zhu et al. Synthetic image generation model for intelligent vehicle camera function testing in rain and fog
CN111060926B (en) Rainfall calculation system and method
Antariksa et al. Comparative analysis of advanced AI-based object detection models for pavement marking quality assessment during daytime
Scheuble et al. Simulating road spray effects in automotive lidar sensor models
Li et al. Enhancing ADAS sensor vision in rain through machine learning training using droplet-influenced images
Brzozowski et al. Validating adverse weather influence on LiDAR with an outdoor rain simulator