This paper presents a new online-capable statistical approach for maneuver detection and uncertainty-aware trajectory prediction in highway scenarios based on ...

Abstract—Intelligent automated driving functions require a deep understanding about the current traffic situation and its likely evolution.

A new online-capable statistical approach for maneuver detection and uncertainty-aware trajectory prediction in highway scenarios based on detecting and ...

The approach is centered around the idea that the variety of lane change realizations can be clustered into typical motion patterns which support early maneuver ...

Algorithm: Basic agglomerative hierarchical clustering algorithm. 1: Compute proximity matrix. 2: repeat. 3: Merge closest two clusters.

A new trajectory prediction method which combines a trajectory prediction based on Constant Yaw Rate and Acceleration motion model and a trajectory Prediction ...

Objectives of traffic-related motion pattern recognition are to automatically assign similar vehicle trajectories to the same cluster and to compute a common ...

The goal of vehicle trajectory forecasting is to ensure that self-driving cars are able to forecast the trajectory layout in the future when facing complex ...

Jul 25, 2019 · Motion pattern recognition for maneuver detection and trajectory prediction on highways. In International Conference on Vehicular ...

This is a list of the latest research materials (datasets, papers, and codes) related to traffic agent trajectory prediction.