In this survey, we systematically summarize the current literature on st...
Learning from demonstrations has made great progress over the past few y...
Recent advances in supervised learning and reinforcement learning have
p...
Lane-change maneuvers are commonly executed by drivers to follow a certa...
Forecasting pedestrian trajectories in dynamic scenes remains a critical...
Reinforcement Learning algorithms have recently been proposed to learn
t...
Generative Adversarial Imitation Learning (GAIL) is an efficient way to ...
As autonomous vehicles (AVs) need to interact with other road users, it ...
Lane change is a challenging task which requires delicate actions to ens...
Autonomous cars have to navigate in dynamic environment which can be ful...
We apply Deep Q-network (DQN) with the consideration of safety during th...
A reliable controller is critical and essential for the execution of saf...
Lane change is a crucial vehicle maneuver which needs coordination with
...
Ramp merging is a critical maneuver for road safety and traffic efficien...
Operating a robot safely and efficiently can be considerably challenging...
Multiple automakers have in development or in production automated drivi...