Journal of System Simulation
Abstract
Abstract: In view of problem in all possible uncertain behavior of vehicle unable existed by the traditional path planning algorithm, a modeling method was proposed which deemed a moving vehicle as a hybrid system switching dynamically between continuous and discrete mode, modeled an optimal trajectory for vehicle obstacle avoidance by using a single security target location, and built a safe state reachable set based on the trajectory beam of multiple security target locations. On this basis, the condition of the inevitable collision of vehicle was analyzed, and the optimal control problem with loose constraints for the vehicle obstacle avoidance was proposed. The simulation results show that the method can not only plan trajectories for vehicle avoiding obstacle, but also infer the reachable range of security state of vehicle,and the predictive power of vehicle state security is enhanced within a future time interval.
Recommended Citation
Kai, Cao; Huang, Xiaoxiao; Yun, Yu; and Chun, Liu
(2020)
"Modeling Method Based on Reachable Set for Safety Path in Autonomous Vehicle Obstacle Avoidance,"
Journal of System Simulation: Vol. 28:
Iss.
3, Article 4.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss3/4
First Page
526
Revised Date
2015-04-20
DOI Link
https://doi.org/
Last Page
533
CLC
X913.3;U471.15
Recommended Citation
Cao Kai, Huang Xiaoxiao, Yu Yun, Liu Chun. Modeling Method Based on Reachable Set for Safety Path in Autonomous Vehicle Obstacle Avoidance[J]. Journal of System Simulation, 2016, 28(3): 526-533.
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons