This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

Autonomous driving is a complex problem that requires intelligent decision making, and it
has recently garnered significant interest due to its potential advantages in convenience and …

Autonomous robots can use path planning techniques to determine the optimal trajectory
during the mission. These techniques can be classified as classical, meta heuristic, or …

This work presents a novel algorithm for local path planning for autonomous vehicles (AVs)
which prioritizes both safety and adherence to traffic regulations, addressing critical …

We present a path planner for unstructured urban environments (PPUE) for self-driving cars.
PPUE receives initial and goal poses as input, as well as maps of the environment. It …

We introduce a novel neural network-based method for path planning, which employs a
differentiable loss function to learn the policy predicting feasible paths. The proposed …