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pro vyhledávání: '"Singh, Kunjan"'
Forecasting human trajectories in traffic scenes is critical for safety within mixed or fully autonomous systems. Human future trajectories are driven by two major stimuli, social interactions, and stochastic goals. Thus, reliable forecasting needs t
Externí odkaz:
http://arxiv.org/abs/2404.06971
Autor:
Kokilepersaud, Kiran, Logan, Yash-Yee, Benkert, Ryan, Zhou, Chen, Prabhushankar, Mohit, AlRegib, Ghassan, Corona, Enrique, Singh, Kunjan, Parchami, Mostafa
In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting. Annotation-cost refers to the time it takes an annotator to
Externí odkaz:
http://arxiv.org/abs/2311.10591
In smart transportation, intelligent systems avoid potential collisions by predicting the intent of traffic agents, especially pedestrians. Pedestrian intent, defined as future action, e.g., start crossing, can be dependent on traffic surroundings. I
Externí odkaz:
http://arxiv.org/abs/2301.05796