A
Andrey Rudenko
Researcher at Bosch
Publications - 19
Citations - 1004
Andrey Rudenko is an academic researcher from Bosch. The author has contributed to research in topics: Computer science & Motion (physics). The author has an hindex of 7, co-authored 14 publications receiving 404 citations. Previous affiliations of Andrey Rudenko include Örebro University & University of Freiburg.
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Journal ArticleDOI
Human motion trajectory prediction: a survey:
Andrey Rudenko,Andrey Rudenko,Luigi Palmieri,Michael Herman,Kris M. Kitani,Dariu M. Gavrila,Kai O. Arras +6 more
TL;DR: In this article, the ability of intelligent autonomous systems to perceive, understand, and anticipate human behavior becomes increasingly important in a growing number of intelligent systems in human environments, and the ability to do so is discussed.
Journal ArticleDOI
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko,Andrey Rudenko,Luigi Palmieri,Michael Herman,Kris M. Kitani,Dariu M. Gavrila,Kai O. Arras +6 more
TL;DR: A survey of human motion trajectory prediction can be found in this article, where the authors provide an overview of the existing datasets and performance metrics and discuss limitations of the state-of-the-art and outline directions for further research.
Proceedings ArticleDOI
Joint Long-Term Prediction of Human Motion Using a Planning-Based Social Force Approach
TL;DR: A novel planning-based approach for long-term human motion prediction that accounts for local interactions and can accurately predict joint motion of multiple agents is presented.
Proceedings ArticleDOI
Errare humanum est: Erroneous robots in human-robot interaction
TL;DR: The results show that the erroneous robot triggered more positive emotions but lead to a lower human performance than the perfect one, in a competitive scenario in which humans and robots solve reasoning tasks and memorize numbers.
Journal ArticleDOI
TH\"OR: Human-Robot Navigation Data Collection and Accurate Motion Trajectories Dataset
Andrey Rudenko,Tomasz Piotr Kucner,Chittaranjan Srinivas Swaminathan,Ravi Teja Chadalavada,Kai O. Arras,Achim J. Lilienthal +5 more
TL;DR: In this paper, the authors present a new dataset with human motion trajectory and eye gaze data collected in an indoor environment with accurate ground truth for position, head orientation, gaze direction, social grouping, obstacles map and goal coordinates.