Real-time avoidance maneuvers have been developed using a force-centric perspective, where the founding principles are obtained from studies of optimal maneuvers. The developed optimization framework, the different criteria used, and the obtained solutions give insight into how to control the forces on the vehicle. A highlight in this presentation is the first algorithm not needing a tire-road friction estimate.
Funding Agencies|Knut and Alice Wallenberg Foundation mainly through the Wallenberg AI, Autonomous Systems and Software Program (WASP)