VANETs Meet Autonomous Vehicles: A Multimodal 3D Environment Learning Approach

24 May 2017Yassine MaalejSameh SorourAhmed Abdel-RahimMohsen Guizani

In this paper, we design a multimodal framework for object detection, recognition and mapping based on the fusion of stereo camera frames, point cloud Velodyne Lidar scans, and Vehicle-to-Vehicle (V2V) Basic Safety Messages (BSMs) exchanged using Dedicated Short Range Communication (DSRC). We merge the key features of rich texture descriptions of objects from 2D images, depth and distance between objects provided by 3D point cloud and awareness of hidden vehicles from BSMs' 3D information... (read more)

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