2 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Driving from Vision through Differentiable Optimal Control
Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars +1
This paper proposes DriViDOC: a framework for Driving from Vision through Differentiable Optimal Control, and its application to learn autonomous driving controllers from human dem…
Evaluation of MPC-based Imitation Learning for Human-like Autonomous Driving
Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars +1
This work evaluates and analyzes the combination of imitation learning (IL) and differentiable model predictive control (MPC) for the application of human-like autonomous driving.…
Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field
Yurui Du, Flavia Sofia Acerbo, Jens Kober +1
In recent years, imitation learning (IL) has been widely used in industry as the core of autonomous vehicle (AV) planning modules. However, previous IL works show sample inefficien…
MPC-based Imitation Learning for Safe and Human-like Autonomous Driving
Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars +1
To ensure user acceptance of autonomous vehicles (AVs), control systems are being developed to mimic human drivers from demonstrations of desired driving behaviors. Imitation learn…