This paper proposes an interaction and safety-aware motion-planning method for an
autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates …

This paper proposes an interaction-aware motion-planning method for an autonomous
vehicle in uncertain multi-vehicle traffic environments. An interaction-aware motion …

This paper investigates an integrated traffic environment modeling and model predictive
control (MPC) system to realize interaction-aware dynamic motion planning of an …

Autonomous vehicles (AVs) must share the driving space with other drivers and often
employ conservative motion planning strategies to ensure safety. These conservative …

Prediction is a vital component of motion planning for autonomous vehicles (AVs). By
reasoning about the possible behavior of other target agents, the ego vehicle (EV) can …

The predictive motion prediction of surrounding vehicles is an essential precondition for
precise collision risk assessment and path planning. In this paper, we propose a motion …

Safe motion planning in complex and interactive environments is one of the major
challenges for developing autonomous vehicles. In this paper, we propose an interaction …

Autonomous vehicles require safe motion planning in uncertain environments, which are
largely caused by surrounding vehicles. In this paper, a driving environment uncertainty …

Motion planning is a process of constant negotiation with the rest of the traffic agents and is
highly conditioned by their movement prediction. Indeed, an incorrect prediction could cause …

Autonomous vehicles necessitate prediction of future motions of surrounding traffic
participants for safe navigation. However, prediction is challenging due to complex road …