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These researches use data collected from video cameras and sensors installed on roadsides and within vehicles. ... The crash data obtained from these sources can be used to investigate the severity of the situation and human behaviors. ... ., crash, near-crash and safe events. The global efficiency of 87% was achieved for the 2-class problem and 85% average accuracy per class. ...doi:10.5281/zenodo.4514946 fatcat:wu6nefedtncy7jcc7dfldz4t7y
However, when a traffic accident occurs in a sparsely populated area or the driver is the only person in the vehicle and the crash results in loss of consciousness, no one will be available to send a distress ... To address such issues, this paper proposes a deep learning-based Internet of Vehicles (IoV) system called DeepCrash, which includes an in-vehicle infotainment (IVI) telematics platform with a vehicle ... Jing-Jou Tang from the Department of Electronic Engineering at Southern Taiwan University of Science and Technology in Tainan, Taiwan, for supporting and assisting with the OBD-II Bridge and CAN bus-related ...doi:10.1109/access.2019.2946468 fatcat:c4ksvwkslfbk3nra4y6ezdihiu
All authors read and approved the final manuscript. ... Acknowledgements Not applicable Authors' contributions TK, IJ, YH searched the literature; TK, IJ drew the figures; TK, IJ, YH collected the data and analyzed it; TK, IJ designed the experiments and ... The method proposed in  combined the data from a dashcam image and the acceleration data received from a telematics device, and the classification accuracy 87.03%. ...doi:10.1186/s13673-020-00244-8 fatcat:viwnxc4pvfblzinkr6nbymb6ca
Successively, we present a list of notable telematics services and applications in research and industry like driving profiling or vehicular safety. ... Whereas a very large number of sensors are available in the automotive field, currently just a few of them, mostly proprioceptive ones, are used in telematics, automotive insurance, and mobility safety ... ACKNOWLEDGMENT This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finance Code 001, CNPq, FAPERJ, and FAPESP Grant 15/24494-8. ...arXiv:2008.12632v1 fatcat:lwzwvdldnbbmhlkwsjzipowfly
by movement and the gravity force, the second -the rollover detection based on exceeding the threshold of the vehicle angle of inclination using data coming from the accelerometer and a gyroscope. ... The proposed solution of passenger detection is based on images coming from a built-in 360 • view camera. ... The works  and  present a smartphone applications for crash detection based on visual information and image and video processing. ...doi:10.1109/access.2020.3015503 fatcat:ymaq7rh33zbwno6piaapmd3evi
This was achieved by utilising a variety of research methods and a wide range of data types, including self-report questionnaires, Police collision reports, and real-world video data. ... Subsequent analysis of data, involving use of both marked and unmarked Police vehicles then helped to establish whether near misses and collisions occur as a result of marking type, through poor conspicuity ... dashcam The second method of collection for video data from a marked Police vehicle was a dashcam mounted on the front windscreen, with data stored on SD Memory cards. ...doi:10.26174/thesis.lboro.12811739 fatcat:cecxjrk6mrdo3k6wej5zkcls3u