… to have mathematical models which allow us to predict how this situation will evolve in the
… relation with risk assessment. We have chosen to organize motion modeling and prediction …

… a collision risk assessment algorithm that can quantitatively assess collision risks for a
set of local path candidates via the lanebased probabilistic motion prediction of surrounding …

… multipedestrian collision risk assessment framework comprising a motion prediction module…
and a collision risk assessment module. First, the motion of the ego vehicle (EV) is predicted …

The reliable motion prediction of all traffic participants is one of the main challenges for AVs,
especially in urban environments. Indeed, crowded driving scenarios involve strong and …

… for risk assessment and motion planning of autonomous vehicles. In this paper, we propose
a risk assessment and motion … vehicles based on motion prediction of surrounding vehicles. …

… This requires a prediction of the evolution of the traffic surrounding the vehicle. This paper
is … engineering for predicting future trajectories and collision risk assessment. models of …

… power of vehicles motion prediction and the performance of driving situation assessment
based on proposed method are evaluated by comparing the prediction errors of vehicle motion …

… ’s predicted paths and speed distributions. We evaluate this proposed risk assessment method
… Section 3 describes the precise road map in the motion prediction. Section 4 presents the …

… motion prediction of other traffic participants is considered. We use Monte Carlo simulation to
predict … Laugier, “A survey on motion prediction and risk assessment for intelligent vehicles,…

… to predict how collision risk will evolve in the future. Therefore, in this thesis, we propose the
risk assessment … via lane-based probabilistic motion prediction of surrounding vehicles. In …