This workshop has been published in ICRA 2019.
Anticipating human motion is a key skill for intelligent systems that share a space or interact with humans. Accurate long-term predictions of human movement trajectories, body poses, actions or activities may significantly improve the ability of robots to plan ahead, anticipate the effects of their actions or to foresee hazardous situations. The topic has received increasing attention in recent years across several scientific communities with a growing spectrum of applications in service robots, self-driving cars, collaborative manipulators or tracking and surveillance. The aim of this workshop is to bring together researchers and practitioners from different communities and to discuss recent developments in this field, promising approaches, their limitations, benchmarking techniques and open challenges. The program includes ten invited speakers and a poster session with spotlight talks.
- Title: Long-term Human Motion Prediction
- Authors: Massoud Alahi, Alexandre; Trivedi, Mohan; Manocha, Dinesh; van de Panne, Michiel; Demircan, Emel; Hsu, David; Bajcsy, Andrea ; Schmerling, Edward; Rudenko, Andrey; Bosch, Robert
- Date of publication: 24/05/2019
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