… are obtained at multiple levels of abstraction, eg, behavior planning, motion planning and
control. The earliest autonomous vehicles can be dated back to [5]–[7]. One milestone was the …

… an integrated planner in the sense that it performs global, local and behavior planning. It is
an … Wiesel, “Optimized route network graph as map reference for autonomous cars operating …

… and practitioners working on autonomous vehicle motion planning and control, … on autonomous
driving. This book focuses on the applications of robust motion control to the autonomous …

… Block scheme of the approach proposed in this paper for autonomous car racing in
presence of uncertainties. The SENNA module acts as a higher-level game-theoretic planning …

… autonomous cars such as technical and non-technical challenges addressed by the autonomous
car … in scene perception, path planning, behavior arbitration, and motion control. They …

… local behavior planning, and trajectory planning … behavior planning and trajectory planning
is rather blurred [159], eg, some behavior planners do more than just identify the behavior …

… This section first presents the trajectory planning framework of the autonomous car. With
the framework presented, it will outline how cooperation is included in this framework. Finally, …

… -RRT) for path planning, together with the risk assessment of driver behavior. First, the driver…
planning. By HMRRT, the newly developed safety assurance mechanism for path planning, …

Preventing and mitigating high severity collisions is one of the main opportunities for Automated
Driving Systems (ADS) to improve road safety. This study evaluated the Waymo Driver’s …

… algorithms and integration of complete autonomous navigation … planning, we detail usage
of the three open-source repositories and share experiences in integration of autonomous …