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المؤلفون: Everton Luís Berz, Jonathan Fürst, Bin Cheng, Samet Aytaç, Marzieh Farahani Dolatabadi, Jos den Ouden, Gurkan Solmaz
المساهمون: Control Systems Technology, Mobile Perception Systems Lab, Video Coding & Architectures
المصدر: Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability -SMAS '19
Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability-SMAS 19
SMAS@MobiCom
SMAS 2019-Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability, co-located with MobiCom 2019, 27-32
STARTPAGE=27;ENDPAGE=32;TITLE=SMAS 2019-Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability, co-located with MobiCom 2019مصطلحات موضوعية: Internet of things, Vulnerable road user detection, business.industry, Computer science, Pedestrian detection, Deep learning, Real-time computing, Autonomous vehicles, 020206 networking & telecommunications, 02 engineering and technology, Pedestrian, University campus, deep neural networks, autonomous vehicles, deep neural networks, internet of things, vulnerable road user detection, 0202 electrical engineering, electronic engineering, information engineering, Trajectory, 020201 artificial intelligence & image processing, Artificial intelligence, Internet of Things, business, Mobile device, Road user
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd7ea976dec2a6cc39b4f81bb1c7fdce