| How would surround vehicles move? a unified framework for maneuver classification and motion prediction N Deo, A Rangesh, MM Trivedi IEEE Transactions on Intelligent Vehicles 3 (2), 129-140, 2018 | 314 | 2018 |
| No blind spots: Full-surround multi-object tracking for autonomous vehicles using cameras and lidars A Rangesh, MM Trivedi IEEE Transactions on Intelligent Vehicles 4 (4), 588-599, 2019 | 156 | 2019 |
| Driver gaze zone estimation using convolutional neural networks: A general framework and ablative analysis S Vora, A Rangesh, MM Trivedi IEEE Transactions on Intelligent Vehicles 3 (3), 254-265, 2018 | 94 | 2018 |
| On generalizing driver gaze zone estimation using convolutional neural networks S Vora, A Rangesh, MM Trivedi 2017 IEEE Intelligent Vehicles Symposium (IV), 849-854, 2017 | 86 | 2017 |
| Laneaf: Robust multi-lane detection with affinity fields H Abualsaud, S Liu, DB Lu, K Situ, A Rangesh, MM Trivedi IEEE Robotics and Automation Letters 6 (4), 7477-7484, 2021 | 60 | 2021 |
| 3d bat: A semi-automatic, web-based 3d annotation toolbox for full-surround, multi-modal data streams W Zimmer, A Rangesh, M Trivedi 2019 IEEE Intelligent Vehicles Symposium (IV), 1816-1821, 2019 | 46 | 2019 |
| Driver gaze estimation in the real world: Overcoming the eyeglass challenge A Rangesh, B Zhang, MM Trivedi 2020 IEEE Intelligent Vehicles Symposium (IV), 1054-1059, 2020 | 41 | 2020 |
| TrackMPNN: A message passing graph neural architecture for multi-object tracking A Rangesh, P Maheshwari, M Gebre, S Mhatre, V Ramezani, MM Trivedi arXiv preprint arXiv:2101.04206, 2021 | 32 | 2021 |
| In-vehicle hand gesture recognition using hidden markov models N Deo, A Rangesh, M Trivedi 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 27 | 2016 |
| When Vehicles See Pedestrians With Phones: A Multicue Framework for Recognizing Phone-Based Activities of Pedestrians A Rangesh, MM Trivedi IEEE Transactions on Intelligent Vehicles 3 (2), 218-227, 2018 | 26 | 2018 |
| Pedestrians and their phones-detecting phone-based activities of pedestrians for autonomous vehicles A Rangesh, E Ohn-Bar, K Yuen, MM Trivedi 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 26 | 2016 |
| Handynet: A one-stop solution to detect, segment, localize & analyze driver hands A Rangesh, MM Trivedi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 25 | 2018 |
| A multimodal, full-surround vehicular testbed for naturalistic studies and benchmarking: Design, calibration and deployment A Rangesh, K Yuen, RK Satzoda, RN Rajaram, P Gunaratne, MM Trivedi arXiv preprint arXiv:1709.07502, 2017 | 23 | 2017 |
| Hidden hands: Tracking hands with an occlusion aware tracker A Rangesh, E Ohn-Bar, MM Trivedi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 22 | 2016 |
| Driver hand localization and grasp analysis: A vision-based real-time approach A Rangesh, E Ohn-Bar, MM Trivedi 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 21 | 2016 |
| Ground plane polling for 6dof pose estimation of objects on the road A Rangesh, MM Trivedi IEEE Transactions on Intelligent Vehicles 5 (3), 449-460, 2020 | 20 | 2020 |
| Exploring the situational awareness of humans inside autonomous vehicles A Rangesh, N Deo, K Yuen, K Pirozhenko, P Gunaratne, H Toyoda, ... 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 17 | 2018 |
| Surround vehicle tracking and motion prediction A Rangesh, MM Trivedi, N Deo US Patent App. 16/960,290, 2021 | 14 | 2021 |
| Autonomous vehicles that alert humans to take-over controls: Modeling with real-world data A Rangesh, N Deo, R Greer, P Gunaratne, MM Trivedi 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 11 | 2021 |
| Forced spatial attention for driver foot activity classification A Rangesh, M Trivedi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 10 | 2019 |
Mohan TrivediDistinguished Professor ECE, Univ California, San Diego, Director CVRR and LISA LabsVerified email at ucsd.edu
