A review of motion planning techniques for automated vehicles
Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …
driving under controlled environments. Scene information is received using onboard …
[HTML][HTML] Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …
research because of its multi-faceted advantages that includes improved safety, reduced …
Navigating occluded intersections with autonomous vehicles using deep reinforcement learning
Providing an efficient strategy to navigate safely through unsignaled intersections is a
difficult task that requires determining the intent of other drivers. We explore the …
difficult task that requires determining the intent of other drivers. We explore the …
An improved A-Star based path planning algorithm for autonomous land vehicles
S Erke, D Bin, N Yiming, Z Qi… - … Journal of Advanced …, 2020 - journals.sagepub.com
This article presents a novel path planning algorithm for autonomous land vehicles. There
are four main contributions: Firstly, an evaluation standard is introduced to measure the …
are four main contributions: Firstly, an evaluation standard is introduced to measure the …
Making bertha drive—an autonomous journey on a historic route
125 years after Bertha Benz completed the first overland journey in automotive history, the
Mercedes Benz S-Class S 500 INTELLIGENT DRIVE followed the same route from …
Mercedes Benz S-Class S 500 INTELLIGENT DRIVE followed the same route from …
Automated driving in uncertain environments: Planning with interaction and uncertain maneuver prediction
Automated driving requires decision making in dynamic and uncertain environments. The
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles
Autonomous driving requires decision making in dynamic and uncertain environments. The
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
uncertainty from the prediction originates from the noisy sensor data and from the fact that …
Path planning for autonomous vehicles in unknown semi-structured environments
We describe a practical path-planning algorithm for an autonomous vehicle operating in an
unknown semi-structured (or unstructured) environment, where obstacles are detected …
unknown semi-structured (or unstructured) environment, where obstacles are detected …
Minimum curvature trajectory planning and control for an autonomous race car
A Heilmeier, A Wischnewski… - Vehicle System …, 2019 - Taylor & Francis
This paper shows a software stack capable of planning a minimum curvature trajectory for
an autonomous race car on the basis of an occupancy grid map and introduces a controller …
an autonomous race car on the basis of an occupancy grid map and introduces a controller …