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pro vyhledávání: '"Narayanan, Athma"'
Recognition of human actions and associated interactions with objects and the environment is an important problem in computer vision due to its potential applications in a variety of domains. The most versatile methods can generalize to various envir
Externí odkaz:
http://arxiv.org/abs/1912.03442
The Tactical Driver Behavior modeling problem requires understanding of driver actions in complicated urban scenarios from a rich multi modal signals including video, LiDAR and CAN bus data streams. However, the majority of deep learning research is
Externí odkaz:
http://arxiv.org/abs/1910.00628
This paper examines the problem of dynamic traffic scene classification under space-time variations in viewpoint that arise from video captured on-board a moving vehicle. Solutions to this problem are important for realization of effective driving as
Externí odkaz:
http://arxiv.org/abs/1905.12708
In this paper, we presented a preliminary study for tactical driver behavior detection from untrimmed naturalistic driving recordings. While supervised learning based detection is a common approach, it suffers when labeled data is scarce. Manual anno
Externí odkaz:
http://arxiv.org/abs/1807.00864
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