SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles

no code implementations • 9 Mar 2020 • Shivam Gautam, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Brian C. Becker

Accurate motion state estimation of Vulnerable Road Users (VRUs), is a critical requirement for autonomous vehicles that navigate in urban environments.

Autonomous Vehicles Computational Efficiency +2

MultiXNet: Multiclass Multistage Multimodal Motion Prediction

no code implementations • 3 Jun 2020 • Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington

One of the critical pieces of the self-driving puzzle is understanding the surroundings of a self-driving vehicle (SDV) and predicting how these surroundings will change in the near future.

motion prediction Position

Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models

no code implementations • 9 Jan 2021 • Abhishek Mohta, Fang-Chieh Chou, Brian C. Becker, Carlos Vallespi-Gonzalez, Nemanja Djuric

Detection of surrounding objects and their motion prediction are critical components of a self-driving system.

motion prediction