Collaborative driver assistance

gate a collaborative driver assistance system "DRIZY:DRIve eaSY" for such scenarios where inference is drawn from on-board camera feed to alert drivers of obstacles ahead and the cloud uses GPS sensor data uploaded by all vehicles to alert drivers of vehicles in potential collision trajectory. Thus, we combine computer vision. The proposed collaborative driving framework is validated in an assisted-driving testbed, which enables both autonomous and manual driving capabilities. The concept of the collaborative driving Estimated Reading Time: 5 mins. Home Conferences MOBICOM Proceedings MobiCom '17 Poster: DRIZY: Collaborative Driver Assistance Over Wireless Networks. poster. Poster: DRIZY: Collaborative Driver Assistance Over Wireless Networks. Share on. Authors: Nakul Garg. Bharati Vidyapeeth's College of Engineering, New delhi, India.

In this paper, we investigate a collaborative driver assistance system "DRIZY: DRIve eaSY" for such scenarios where inference is drawn from on-board camera feed to alert drivers of obstacles ahead. A Human-Vehicle Collaborative Driving Framework for Driver Assistance Abstract: With a goal to improve transportation safety, this paper proposes a collaborative driving framework based on assessments of both internal and external risks involved in vehicle driving. The researchers believe that a collaborative artificial intelligence inference approach can help them get these highly effective, potentially lifesaving driver-assistance systems into more cars on the road. Many attempts to solve this problem have involved trying to simply upload all the computation to a back-end server.

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