π€ AI Summary
This study addresses the safety challenges of autonomous navigation for articulated vehicles in narrow environments by proposing a spatiotemporal tube planning method that integrates kinematic and swing constraints. The approach employs an admissibility correction mechanism to generate route safety certificates, rigorously ensuring that the entire trailer sequence remains within the designated road corridor and effectively mitigating boundary violation risks under complex physical constraints. Simulation experiments validate the frameworkβs effectiveness in truck-trailer systems. Consequently, this work provides a solution for safe motion planning of articulated vehicles in confined spaces that balances theoretical rigor with engineering practicality, offering a robust methodology for navigating constrained operational domains while maintaining strict safety guarantees throughout the vehicle's articulation dynamics.
π Abstract
Articulated vehicles are the workhorses of freight transportation, and their autonomous navigation is challenging. Their physical characteristics and motion constraints pose significant challenges in manoeuvring these vehicles on narrow routes. This paper presents a spatiotemporal tube-based approach to plan autonomous navigation of vehicles like tractor semi-trailers, truck/ tractor trailers, towing Automated Guided Vehicles (AGVs), and road trains. This planning approach provides a certified path plan for the truck or tractor, ensuring that the towed series of trailers always remains within the road corridor, limited by permissible corrections. The planning leverages the kinematics of the linked elements along with sway constraints to arrive at a safe tube for the actuated prime mover. We modify the spatiotemporal tube using permissible corrections to provide a route safety certificate to the vehicle for the given route. The proposed planning method is verified on a truck-trailer navigation simulation for a complex route.