Publication Date: 6/17/2019
Event: Proceedings of CVPR 2019 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics
Reference: pp. 1-4, 2019
Authors: Ziyan Wang, Carnegie Mellon University, NEC Laboratories America, Inc.; Buyu Liu, NEC Laboratories America, Inc.; Samuel Schulter, NEC Laboratories America, Inc.; Manmohan Chandraker, NEC Laboratories America, Inc.
Abstract: We introduce a novel dataset for high-level 3D scene understanding of complex road scenes. Our annotations extend the existing datasets KITTI  and nuScenes  with semantically and geometrically meaningful attributes like the number of lanes or the existence of, and distance to, intersections, sidewalks and crosswalks. Our attributes are rich enough to build a meaningful representation of the scene in the top-view and provide a tangible interface to the real world for several practical applications
Publication Link: https://scene-understanding.com/2019/program.html