We examine the problem of estimating footprint uncertainty of objects im...
Autonomous vehicles (AVs) need to determine their position and orientati...
Subgraph isomorphism or subgraph matching is generally considered as an
...
Pedestrian safety has become an important research topic among various
s...
Low dimensional primitive feature extraction from LiDAR point clouds (su...
Traffic simulation is an efficient and cost-effective way to test Autono...
Current autonomous vehicle (AV) simulators are built to provide large-sc...
Current deep reinforcement learning (DRL) algorithms utilize randomness ...
Inverse reinforcement learning (IRL) is used to infer the reward functio...
A common approach for defining a reward function for Multi-objective
Rei...