Motion control problems remain to be fully solved for automated vehicles in dynamic traffic
circumstances. Existing approaches usually first make a driving behaviour decision, then …

A key problem to be solved for automated driving is to generate a feasible trajectory
regarding the constraints imposed by vehicle physical limits and road surface. This paper …

Autonomous vehicles face the challenge of providing safe transportation while efficiently
maneuvering in an uncertain environment. Considering surrounding vehicles, two types of …

Automated vehicles are increasingly getting main-streamed and this has pushed
development of systems for autonomous manoeuvring (eg, lane-change, merge, and …

An optimal path tracking controller for autonomous vehicles is presented to coordinate
longitudinal and lateral vehicle dynamics. With the nonlinear model predictive controller …

Automated Driving Systems (ADS) have received a considerable amount of attention in the
last few decades, as part of the Intelligent Transportation Systems (ITS) field. However, this …

Maneuver planning, which plays a key role in selecting desired lanes and speeds, is an
essential element of autonomous driving. Generally, for a vehicle driving on a multilane …

This thesis investigates interaction-aware trajectory planning for highway merging
scenarios. It is an effort to make navigation of the highway merging scenario safer by …

Driving behavior prediction plays an increasingly important role in the development of
autonomous driving functions and Advanced Driver Assistance Systems (ADAS). The more …

Motion planners for autonomous driving improve traffic safety through collision-free motion
generation along the path. However, conventional motion planners render passengers …