Convolutional social pooling for vehicle trajectory prediction N Deo, MM Trivedi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 973 | 2018 |
Multi-modal trajectory prediction of surrounding vehicles with maneuver based lstms N Deo, MM Trivedi 2018 IEEE intelligent vehicles symposium (IV), 1179-1184, 2018 | 538 | 2018 |
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 | 386 | 2018 |
Trajectory forecasts in unknown environments conditioned on grid-based plans N Deo, MM Trivedi arXiv preprint arXiv:2001.00735, 2020 | 180 | 2020 |
Multimodal trajectory prediction conditioned on lane-graph traversals N Deo, E Wolff, O Beijbom Conference on Robot Learning, 203-212, 2022 | 171 | 2022 |
Trajectory prediction for autonomous driving based on multi-head attention with joint agent-map representation K Messaoud, N Deo, MM Trivedi, F Nashashibi 2021 IEEE Intelligent Vehicles Symposium (IV), 165-170, 2021 | 135* | 2021 |
Looking at the driver/rider in autonomous vehicles to predict take-over readiness N Deo, MM Trivedi IEEE Transactions on Intelligent Vehicles 5 (1), 41-52, 2019 | 90 | 2019 |
Scene compliant trajectory forecast with agent-centric spatio-temporal grids D Ridel, N Deo, D Wolf, M Trivedi IEEE Robotics and Automation Letters 5 (2), 2816-2823, 2020 | 77 | 2020 |
Trajectory prediction in autonomous driving with a lane heading auxiliary loss R Greer, N Deo, M Trivedi IEEE Robotics and Automation Letters 6 (3), 4907-4914, 2021 | 45 | 2021 |
Learning and predicting on-road pedestrian behavior around vehicles N Deo, MM Trivedi 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 40 | 2017 |
Understanding pedestrian-vehicle interactions with vehicle mounted vision: An LSTM model and empirical analysis DA Ridel, N Deo, D Wolf, M Trivedi 2019 IEEE Intelligent Vehicles Symposium (IV), 913-918, 2019 | 34 | 2019 |
In-vehicle hand gesture recognition using hidden markov models N Deo, A Rangesh, M Trivedi 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 33 | 2016 |
Surround vehicle tracking and motion prediction A Rangesh, MM Trivedi, N Deo US Patent 11,906,625, 2024 | 32 | 2024 |
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 | 22 | 2021 |
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 | 20 | 2018 |
Vowel mispronunciation detection using DNN acoustic models with cross-lingual training. S Joshi, N Deo, P Rao INTERSPEECH, 697-701, 2015 | 17 | 2015 |
On salience-sensitive sign classification in autonomous vehicle path planning: Experimental explorations with a novel dataset R Greer, J Isa, N Deo, A Rangesh, MM Trivedi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 16 | 2022 |
Salient sign detection in safe autonomous driving: Ai which reasons over full visual context R Greer, A Gopalkrishnan, N Deo, A Rangesh, M Trivedi arXiv preprint arXiv:2301.05804, 2023 | 14 | 2023 |
Safe control transitions: Machine vision based observable readiness index and data-driven takeover time prediction R Greer, N Deo, A Rangesh, P Gunaratne, M Trivedi arXiv preprint arXiv:2301.05805, 2023 | 11 | 2023 |
Predicting take-over time for autonomous driving with real-world data: Robust data augmentation, models, and evaluation A Rangesh, N Deo, R Greer, P Gunaratne, MM Trivedi arXiv preprint arXiv:2107.12932, 2021 | 11 | 2021 |