| Multimodal trajectory predictions for autonomous driving using deep convolutional networks H Cui, V Radosavljevic, FC Chou, TH Lin, T Nguyen, TK Huang, ... 2019 international conference on robotics and automation (icra), 2090-2096, 2019 | 679 | 2019 |
| Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving N Djuric, V Radosavljevic, H Cui, T Nguyen, FC Chou, TH Lin, N Singh, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 233 | 2020 |
| Machine learning for predicting locations of objects perceived by autonomous vehicles GC Haynes, I Dewancker, N Djuric, TK Huang, T Lan, TH Lin, ... US Patent 10,579,063, 2020 | 113 | 2020 |
| Motion prediction of traffic actors for autonomous driving using deep convolutional networks N Djuric, V Radosavljevic, H Cui, T Nguyen, FC Chou, TH Lin, ... arXiv preprint arXiv:1808.05819 2 (1), 2018 | 79 | 2018 |
| Deep kinematic models for kinematically feasible vehicle trajectory predictions H Cui, T Nguyen, FC Chou, TH Lin, J Schneider, D Bradley, N Djuric 2020 IEEE International Conference on Robotics and Automation (ICRA), 10563 …, 2020 | 78 | 2020 |
| Object motion prediction and autonomous vehicle control N Djuric, V Radosavljevic, TD Nguyen, TH Lin, J Schneider US Patent 10,656,657, 2020 | 74 | 2020 |
| Predicting motion of vulnerable road users using high-definition maps and efficient convnets FC Chou, TH Lin, H Cui, V Radosavljevic, T Nguyen, TK Huang, ... 2020 IEEE Intelligent Vehicles Symposium (IV), 1655-1662, 2020 | 63 | 2020 |
| Object motion prediction and autonomous vehicle control N Djuric, V Radosavljevic, TD Nguyen, TH Lin, J Schneider, H Cui, ... US Patent 11,112,796, 2021 | 60 | 2021 |
| Short-term motion prediction of traffic actors for autonomous driving using deep convolutional networks N Djuric, V Radosavljevic, H Cui, T Nguyen, FC Chou, TH Lin, ... arXiv preprint arXiv:1808.05819 1 (2), 6, 2018 | 52 | 2018 |
| Deep learning of spatio-temporal features with geometric-based moving point detection for motion segmentation TH Lin, CC Wang 2014 IEEE International Conference on Robotics and Automation (ICRA), 3058-3065, 2014 | 28 | 2014 |
| Deep kinematic models for physically realistic prediction of vehicle trajectories H Cui, T Nguyen, FC Chou, TH Lin, J Schneider, D Bradley, N Djuric arXiv preprint arXiv:1908.00219 3, 2019 | 24 | 2019 |
| Optimization of a multi-stage ATR system for small target identification THH Lin, T Lu, H Braun, W Edens, Y Zhang, TH Chao, C Assad, ... Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser …, 2010 | 16 | 2010 |
| Methods and measurement variance for field estimations of coral colony planar area using underwater photographs and semi-automated image segmentation BP Neal, TH Lin, RN Winter, T Treibitz, O Beijbom, D Kriegman, DI Kline, ... Environmental Monitoring and Assessment 187, 1-11, 2015 | 13 | 2015 |
| Fused raised pavement marker detection using 2d-lidar and mono camera TT Nguyen, J Spehr, THH Lin, D Lipinski 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 9 | 2015 |
| Path planning using delta cost volume generated from movement restrictions and observed driving behavior TH Lin, S Omari, P Ondruska, MS Vitelli US Patent 11,634,161, 2023 | 5 | 2023 |
| Object motion prediction and autonomous vehicle control N Djuric, V Radosavljevic, TD Nguyen, TH Lin, J Schneider, H Cui, ... US Patent 11,835,951, 2023 | 3 | 2023 |
| Using range and bearing observation in stereo-based ekf slam YC Chen, TH Lin, TM Shih Towards Autonomous Robotic Systems: 14th Annual Conference, TAROS 2013 …, 2014 | 2 | 2014 |
| Motion prediction for autonomous devices N Djuric, H Cui, TD Nguyen, FC Chou, TH Lin, J Schneider, DMA Bradley US Patent 11,635,764, 2023 | 1 | 2023 |
| Optimization of Adaboost Algorithm for Sonar Target Detection in a Multi-Stage ATR System THH Lin | | 2011 |
Jeff SchneiderCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
