37 citations · 92 across the 12 of their papers we have counts for
4 papers · 1 filter
Importance is in your attention: agent importance prediction for autonomous driving
Christopher Hazard, Akshay Bhagat, Balarama Raju Buddharaju +5
Trajectory prediction is an important task in autonomous driving. State-of-the-art trajectory prediction models often use attention mechanisms to model the interaction between agen…
Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions
Henggang Cui, Thi Nguyen, Fang-Chieh Chou +4
Self-driving vehicles (SDVs) hold great potential for improving traffic safety and are poised to positively affect the quality of life of millions of people. To unlock this potenti…
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui +6
Following detection and tracking of traffic actors, prediction of their future motion is the next critical component of a self-driving vehicle (SDV) technology, allowing the SDV to…
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou +5
Autonomous driving presents one of the largest problems that the robotics and artificial intelligence communities are facing at the moment, both in terms of difficulty and potentia…