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Integration of Vehicular Clouds and Autonomous Driving: Survey and Future Perspectives
For decades, researchers on Vehicular Ad-hoc Networks (VANETs) and autonomous vehicles presented various solutions for vehicular safety and autonomy, respectively.
VANETs Meet Autonomous Vehicles: A Multimodal 3D Environment Learning Approach
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).
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