Campos et al., 2019 - Google Patents

An adaptive velocity obstacle avoidance algorithm for autonomous surface vehicles

Campos et al., 2019

Document ID
2354614526167848581
Author
Campos D
Matos A
Pinto A
Publication year
Publication venue
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

External Links

Snippet

This paper presents a new algorithm for a real-time obstacle avoidance for autonomous surface vehicles (ASV) that is capable of undertaking preemptive actions in complex and challenging scenarios. The algorithm is called adaptive velocity obstacle avoidance (AVOA) …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291—Fleet control
    • G05D1/0295—Fleet control by at least one leading vehicle of the fleet
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0255—Control of position or course in two dimensions specially adapted to land vehicles using acoustic signals, e.g. ultra-sonic singals
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft

Similar Documents

Publication Publication Date Title
Campos et al. An adaptive velocity obstacle avoidance algorithm for autonomous surface vehicles
Zhu et al. B-UAVC: Buffered Uncertainty-Aware Voronoi Cells for Probabilistic Multi-Robot Collision Avoidance.
Kollmitz et al. Time dependent planning on a layered social cost map for human-aware robot navigation
Shah et al. Resolution-adaptive risk-aware trajectory planning for surface vehicles operating in congested civilian traffic
US10019006B2 (en) Surface vehicle trajectory planning systems, devices, and methods
Xue et al. Automatic simulation of ship navigation
Wu et al. Guaranteed infinite horizon avoidance of unpredictable, dynamically constrained obstacles
Kuwata et al. Safe maritime navigation with COLREGS using velocity obstacles
Nagavalli et al. Automated sequencing of swarm behaviors for supervisory control of robotic swarms
Qin et al. SRL-ORCA: A socially aware multi-agent mapless navigation algorithm in complex dynamic scenes
Silva et al. Hybrid approach to estimate a collision-free velocity for autonomous surface vehicles
Mohan et al. Optimal path finding using iterative sarsa
Stephens et al. Randomized continuous monitoring of a target by agents with turn radius constraints
Bergman et al. A COLREGs-compliant motion planner for autonomous maneuvering of marine vessels in complex environments
Zhao et al. High-level planner synthesis for whole-body locomotion in unstructured environments
Papaioannou et al. Unscented optimal control for 3D coverage planning with an autonomous UAV agent
Marvel et al. A cross-domain survey of metrics for modelling and evaluating collisions
Jenie et al. Velocity obstacle method for non-cooperative autonomous collision avoidance system for UAVs
Chen et al. Safe hierarchical navigation in crowded dynamic uncertain environments
Nunes et al. Trajectory planning with obstacle avoidance using APF and COLREGS for USVs
Hou et al. Model predictive control with visibility graphs for humanoid path planning and tracking against adversarial opponents
Amano et al. Autonomous mobile robot navigation for complicated environments by switching multiple control policies
Cheriet et al. Comparative analysis of UAV path planning algorithms for efficient navigation in urban 3D environments
Depalo et al. Protocol-driven A* algorithm for fast ASV motion planning in dynamic scenarios
Althoff Safety assessment for motion planning in uncertain and dynamic environments