Deep Crash Detection From Vehicular Sensor Data With Multimodal Self-Supervision
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3114816
Abstract: The ability to detect vehicle accidents from on-board sensor data is of the utmost importance to provide prompt assistance to prevent injuries and fatalities. In this article, we present a novel deep learning method capable… read more here.
Keywords: deep crash; detection; sensor data; crash detection ... See more keywords
Privacy-Preserving and Real-Time Detection of Vehicular Congestion Using Multilayer Perceptron Approach for Internet of Vehicles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3199407
Abstract: Detection of vehicular congestion has a significant effect on the transportation sector. Several research approaches have been proposed to improve accuracy and efficiency with the advent of the Internet of Vehicles (IoV). Nonetheless, the privacy… read more here.
Keywords: congestion; privacy preserving; detection; internet vehicles ... See more keywords