Title :
An optimisation-based path planner for truck-trailer systems with driving direction changes
Author :
Zips, Patrik ; Bock, Martin ; Kugi, Andreas
Author_Institution :
Autom. & Control Inst., Vienna Univ. of Technol., Vienna, Austria
Abstract :
This paper presents a path planning concept for trucks with trailers with kingpin hitching. This system is nonholonomic, has no flat output and is not stable in backwards driving direction. These properties are major challenges for path planning. The presented approach concentrates on the loading bay scenario. The considered task is to plan a path for the truck-trailer system from a start to a specified target configuration corresponding to the loading bay. Thereby, close distances to obstacles and multiple driving direction changes have to be handled. Furthermore, a so-called jackknife position has to be avoided. In a first step, an initial path is planned from the target to the start configuration using a tree-based path planner. Afterwards this path is refined locally by solving an optimal control problem. Due to the local nature of the planner, heuristic rules for direction changes are formulated. The performance of the proposed path planner is evaluated in simulation studies.
Keywords :
collision avoidance; optimal control; road traffic control; collision avoidance; jackknife position avoidance; kingpin hitching; loading bay scenario; optimal control problem; optimisation-based path planner; tree-based path planner; truck-trailer system; Axles; Loading; Path planning; Planning; Springs; Switches; Vehicles;
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
DOI :
10.1109/ICRA.2015.7139245