Obstacle-Avoiding Path Planning and Tracking for Intelligent Vehicles Based on Kinematic Model
Author:
Affiliation:
1. Beijing University of Technology,Faculty of Information Technology,Beijing,P. R. China,100124
Funder
National Natural Science Foundation (NNSF) of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256259/10256261/10256625.pdf?arnumber=10256625
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1. Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory
2. Path planning in dynamic environment for a rover using $A^{\ast}$ and potential field method[C];raja;2017 18th International Conference on Advanced Robotics (ICAR) ICAR,0
3. On the Choice of Multiple Flat Outputs for Fault Detection and Isolation of a Flat System
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5. Adaptive Trajectory Tracking for Car-Like Vehicles With Input Constraints
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1. Camera and LiDAR Integration for Lane-Following and Obstacle Avoidance in Self-Driving Cars;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05
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