14 citations · 36 across the 15 of their papers we have counts for
4 papers · 1 filter
MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly
Raphael Chekroun, Thomas Gilles, Marin Toromanoff +2
We present MBAPPE, a novel approach to motion planning for autonomous driving combining tree search with a partially-learned model of the environment. Leveraging the inherent expla…
The Audio-Visual BatVision Dataset for Research on Sight and Sound
Amandine Brunetto, Sascha Hornauer, Stella X. Yu +1
Vision research showed remarkable success in understanding our world, propelled by datasets of images and videos. Sensor data from radar, LiDAR and cameras supports research in rob…
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving
Raphael Chekroun, Marin Toromanoff, Sascha Hornauer +1
Deep reinforcement learning (DRL) has been demonstrated to be effective for several complex decision-making applications such as autonomous driving and robotics. However, DRL is no…
Learning to Roam Free from Small-Space Autonomous Driving with A Path Planner
Sascha Hornauer, Karl Zipser, Stella X. Yu
Modern autonomous driving algorithms often rely on learning the mapping from visual inputs to steering actions from human driving data in a variety of scenarios and visual scenes.…