DTU Roadrunners Dataset This dataset contains data from a Velodyne VLP-16 Puck lidar, a ZED 2 stereo camera, a Swift Navigation Piksi Multi RTK GPS, and odometry, captured on the DTU Roadrunners
In a crowdsourced experiment, the effects of distance and type of the approaching vehicle, traffic density, and visual clutter on pedestrians’ attention distribution were explored. 966 participants vi
This study proposes a lane-changing decision and trajectory planning algorithm for intelligent vehicles on highways that takes driver behavior into consideration. A co-simulation model based on Presca
