90 citations
- Honda (Germany)DE9 papers
- Honda Research Institute Japan Co., Ltd. (Japan)JP5 papers
- Carnegie Mellon UniversityUS4 papers
- Georgia Institute of TechnologyUS4 papers
- Bielefeld UniversityDE3 papers
- Honda (United States)US3 papers
- Kyoto UniversityJP3 papers
- Technische Universität DarmstadtDE3 papers
- University of Maryland, College ParkUS3 papers
- Cornell UniversityUS2 papers
- École Polytechnique Fédérale de LausanneCH2 papers
- Google (United States)US2 papers
4 papers · 1 filter
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer +2
Deep reinforcement learning (DRL) provides a promising way for learning navigation in complex autonomous driving scenarios. However, identifying the subtle cues that can indicate d…
Interpretable Locally Adaptive Nearest Neighbors
Jan Philip Göpfert, Heiko Wersing, Barbara Hammer
When training automated systems, it has been shown to be beneficial to adapt the representation of data by learning a problem-specific metric. This metric is global. We extend this…
Automotive Collision Risk Estimation Under Cooperative Sensing
Daniel LaChapelle, Todd Humphreys, Lakshay Narula +2
This paper offers a technique for estimating collision risk for automated ground vehicles engaged in cooperative sensing. The technique allows quantification of (i) risk reduced du…
Statistical Simulator for the Engine Knock
Xun Shen, Tinghui Ouyang, Jiancang Zhuang +1
This paper proposes a statistical simulator for the engine knock based on the Mixture Density Network (MDN) and the accept-reject method. The proposed simulator can generate the ra…