Learning from Experience for Rapid Generation of Local Car Maneuvers

1 code implementation • 7 Dec 2020 • Piotr Kicki, Tomasz Gawron, Krzysztof Ćwian, Mete Ozay, Piotr Skrzypczyński

Being able to rapidly respond to the changing scenes and traffic situations by generating feasible local paths is of pivotal importance for car autonomy.

A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment

1 code implementation • 2 Mar 2020 • Piotr Kicki, Tomasz Gawron, Piotr Skrzypczyński

An efficient path planner for autonomous car-like vehicles should handle the strong kinematic constraints, particularly in confined spaces commonly encountered while maneuvering in city traffic, and should enable rapid planning, as the city traffic scenarios are highly dynamic.

Self-Supervised Learning