90 citations
- Honda Research Institute, USAUS9 papers
- Carnegie Mellon UniversityUS6 papers
- University of California, BerkeleyUS6 papers
- Boston UniversityUS4 papers
- Duke UniversityUS3 papers
- Honda (Germany)DE3 papers
- Honda (Japan)JP3 papers
- Brown UniversityUS2 papers
- Cornell UniversityUS2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Purdue University West LafayetteUS2 papers
- University of DelawareUS2 papers
5 papers · 1 filter
Toward Adaptive Trust Calibration for Level 2 Driving Automation
Kumar Akash, Neera Jain, Teruhisa Misu
Properly calibrated human trust is essential for successful interaction between humans and automation. However, while human trust calibration can be improved by increased automatio…
Uncertainty-aware Self-supervised 3D Data Association
Jianren Wang, Siddharth Ancha, Yi-Ting Chen +1
3D object trackers usually require training on large amounts of annotated data that is expensive and time-consuming to collect. Instead, we propose leveraging vast unlabeled datase…
Recognition and 3D Localization of Pedestrian Actions from Monocular Video
Jun Hayakawa, Behzad Dariush
Understanding and predicting pedestrian behavior is an important and challenging area of research for realizing safe and effective navigation strategies in automated and advanced d…
Learning Whole-Body Human-Robot Haptic Interaction in Social Contexts
Joseph Campbell, Katsu Yamane
This paper presents a learning-from-demonstration (LfD) framework for teaching human-robot social interactions that involve whole-body haptic interaction, i.e. direct human-robot c…
Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera
Jun Hayakawa, Behzad Dariush
Understanding ego-motion and surrounding vehicle state is essential to enable automated driving and advanced driving assistance technologies. Typical approaches to solve this probl…