This paper describes lane change motion planning with a combination of probabilistic and
deterministic prediction for automated driving under complex driving circumstances. The …

This paper focuses on the lane-changing trajectory planning (LTP) process in the automatic
driving technologies. Existing studies on the LTP algorithms are primarily the static planning …

Automated driving is gaining increasing amounts of attention from both industry and
academic communities because it is regarded as the most promising technology for …

This paper proposes an integrated lane-change trajectory planning method for advanced
driver assistance system of connected and automated vehicles. First, the time-based quintic …

Accurate trajectory prediction of a lane changing vehicle is a key issue for risk assessment
and early danger warning in advanced driver assistance systems (ADAS). This paper …

Lane change maneuver of high-speed automated vehicles is complicated, since it involves
highly nonlinear vehicle dynamics, which is critical for the driving safety and handling …

This paper presents a novel design of control algorithms for lane change assistance and
autonomous driving on highways, based on recent results in Scenario Model Predictive …

This paper introduces a dynamic model of the driver control strategy of lane-change
behavior and applies it to trajectory planning in driver-assistance systems. The proposed …

This paper presents a new algorithm for detecting the safety of lane changes on highways
and for computing safe lane change trajectories. This task is considered as a building block …

Lane change maneuver is a complicated maneuver, and incorrect maneuvering is an
important reason for expressway accidents and fatalities. In this scenario, automated lane …