Zobrazeno 1 - 10
of 67
pro vyhledávání: '"maneuver classification"'
Publikováno v:
IEEE Access, Vol 10, Pp 45102-45111 (2022)
We propose a system for monitoring the driving maneuver at road intersections using rule-based reasoning and deep learning-based computer vision techniques. Along with detecting and classifying turning movements online, the system also detects violat
Externí odkaz:
https://doaj.org/article/0ef1ff8d824c49d09f769c41e51afcd7
Publikováno v:
IEEE Access, Vol 9, Pp 86590-86606 (2021)
With the increasing number of vehicles, the usage of technology has also been increased in the transportation system. Although automobile companies are using advanced technologies to develop high performing transports, traffic safety still remains to
Externí odkaz:
https://doaj.org/article/66341da1eecf4d9f9184e8f0ca4a6930
Publikováno v:
IEEE Access, Vol 8, Pp 56992-57002 (2020)
Innovative technologies and naturalistic driving data sources provide a great potential to develop reliable autonomous driving systems. Understanding the behaviors of surrounding vehicles is essential for improving safety and mobility of autonomous v
Externí odkaz:
https://doaj.org/article/34fe2daec43a45dabbd4306eeb9d5d77
Publikováno v:
IEEE Access, Vol 7, Pp 28799-28809 (2019)
In recent years, cycling has become increasingly popular globally, which takes up little space and leads to nearly no environmental damage. Bicycles permit daily commuters to travel in an efficient manner through frequent traffic congestion. Mixed tr
Externí odkaz:
https://doaj.org/article/9bc8b0cd61be4e2290ece1626c2f6bd2
Publikováno v:
Sensors, Vol 22, Iss 1, p 347 (2022)
Environment perception is one of the major challenges in the vehicle industry nowadays, as acknowledging the intentions of the surrounding traffic participants can profoundly decrease the occurrence of accidents. Consequently, this paper focuses on c
Externí odkaz:
https://doaj.org/article/396f419421284012a2c01bd20700656d
Autor:
Matteo Simoncini, Douglas Coimbra de Andrade, Leonardo Taccari, Samuele Salti, Luca Kubin, Fabio Schoen, Francesco Sambo
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:15605-15615
In this paper, we propose a novel deep learning architecture to classify unsafe driving maneuvers from dashcam and IMU data. Such architecture processes the output of an object detection algorithm in combination with raw video frames and GPS/IMU data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9392bc77b815a0a8ed038b6cab0f391b
https://doi.org/10.1109/tits.2022.3142672
https://doi.org/10.1109/tits.2022.3142672
Publikováno v:
Applied Sciences, Vol 10, Iss 19, p 6739 (2020)
The perception and prediction of the surrounding vehicles’ trajectories play a significant role in designing safe and optimal control strategies for connected and automated vehicles. The compression of trajectory data and the drivers’ strategic b
Externí odkaz:
https://doaj.org/article/90c0d57bdf8c4a82a7f83e04e6690105
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