Scenario modeling and operation path planning of autonomous driving tower cranes

Path Planning for Autonomous Driving in Unknown Environments

We describe a practical path-planning algorithm that generates smooth paths for an autonomous vehicle operating in an unknown environment, where obstacles are detected online by the robot’s sensors. This work was motivated by and experimentally validated in the 2007 DARPA Urban Challenge, where robotic vehicles had to autonomously navigate parking lots. Our approach has two main steps. The firs...

Practical Search Techniques in Path Planning for Autonomous Driving

We describe a practical path-planning algorithm that generates smooth paths for an autonomous vehicle operating in an unknown environment, where obstacles are detected online by the robot’s sensors. This work was motivated by and experimentally validated in the 2007 DARPA Urban Challenge, where robotic vehicles had to autonomously navigate parking lots. Our approach has two main steps. The firs...

Real-Time Motion Planning 
 and
 Autonomous Driving

Path planning for autonomous vehicles

In this study, we first address the problem of visibility-based target tracking for a team of mobile observers trying to track a team of mobile targets. Initially, we introduce the notion of pursuit fields for a single observer to track a single target around a corner based on the previous work. Pursuit fields are used to generate navigation strategies for a single observer. In order to account...

Path Planning for Autonomous Vehicles

Central problems in path planning are obstacle avoidance and path optimisation. The aim of our work was to investigate the efciency of an Evolution Strategy for optimising robot parameters in both respects. We chose a simple model in order to highlight the effect of evolution as an optimisation procedure. In our model the robot has to reach given goals from a given starting position. In our sim...