68 citations
- Institut für RundfunktechnikDE2 papers
- Nokia (Germany)DE2 papers
- Technische Universität DresdenDE2 papers
- Universitat Politècnica de ValènciaES2 papers
- University of SurreyGB2 papers
- Arizona State UniversityUS1 paper
- Automated Precision (United States)US1 paper
- Brigham Young UniversityUS1 paper
- British Broadcasting Corporation (United Kingdom)GB1 paper
- BT Group (United Kingdom)GB1 paper
- Chalmers University of TechnologySE1 paper
- Deployable Space Systems (United States)US1 paper
Showing 2020 · cs.CVShow all
3 papers · 2 filters
cs.CV2020★ 1 cited
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim, Mayank Bansal
Deep neural networks are a key component of behavior prediction and motion generation for self-driving cars. One of their main drawbacks is a lack of transparency: they should prov…
cs.CV2020★ 44 cited
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao, Chen Sun, Hang Zhao +4
Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road compone…
cs.CV2020★ 9 cited
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
Zhishuai Zhang, Jiyang Gao, Junhua Mao +3
Detecting pedestrians and predicting future trajectories for them are critical tasks for numerous applications, such as autonomous driving. Previous methods either treat the detect…