On-Road Road Vehicle Trajectory Collection and Scene Scene-Based Based Lane Change Analysis: Part I
Abstract: This two-part part paper aims to study lane change behaviors at the tactical level from an on-road road perspective, with a special focus on analyzing the interactions between an ego and surrounding vehicles during the procedure. Part I addresses vehicle trajectory collection, whereas Part II addresses lane change extraction and scene-based based behavioral analysis. Different from the general technique of moving object detection and tracking, trajectory collection for tactical driving behavior study is required to have th the e properties of consistency, completeness, continuity, and accuracy. This paper proposes a system of on on-road road vehicle trajectory collection, where an instrumented vehicle is developed with multiple horizontal 2-D D lidars that have 360° coverage. The software is developed by fitting the laser points of all lidars on a vehicle model using a coupled estimation of features and reliability along frames to achieve accurate state estimations of occluded data and robust data association in multiviewpoint sensing. The performance is investigated extensively, and a large trajectory set is developed through on-road on driving at the Fourth Ring Road in Beijing for a total distance of 64 km, with more than 5700 environmental trajectories with a total length of over 19 h. The performance is demonstrated to be of high quality in terms of the required properties. To the authors' knowledge, this is the first system that is able to automatically collect all-around around vehicle trajectories during on on-road road driving and to