… path planning method for autonomous driving that avoids both static and moving obstacles.
The … The optimal path is selected considering the total cost of static safety, comfortability, and …

… research, we concentrate on the autonomous driving with static obstacles in this paper.
However, our approach in this paper can be extended to driving in a dynamic environment using …

… of static obstacles by Static Obstacle Map (SOM) and tracking moving objects using a
Geometric-Model-Free Approach (GMFA). In the proposed approach, the static obstacles are … static …

… Detecting obstacles, both dynamic and static, with nearto-perfect accuracy and low latency,
is a crucial enabler of autonomous driving. In recent years obstacle detection methods …

… be accomplished in order to ensure vehicle autonomous driving. Trajectory planning can be
… avoiding obstacles in a smooth and comfortable way, within the constraints of road driving. …

… autonomous car learning to drive in a simplified environment containing only lane markings
and static obstacles… to the actions available to the autonomous driving car. These actions are …

… Boss is an autonomous vehicle that uses on-board sensors (global positioning system,
lasers, radars, and cameras) to track other vehicles, detect static obstacles, and localize itself …

… as all moving and static obstacles [15]. … static obstacles. However, due to the short planning
horizon, it was difficult for it to perform smooth lane changes or circumvent dynamic obstacles…

… environments containing both static and moving obstacles. While this representation was …
for general autonomous driving. The world model includes the road network, static obstacles, …

… a trajectory planner for autonomous driving based on a … In the NMPC framework, road
boundaries and obstacles (both static … The controller is able to avoid static obstacles and the use …