| City-scale traffic estimation from a roving sensor network J Aslam, S Lim, X Pan, D Rus Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems …, 2012 | 208 | 2012 |
| Stochastic motion planning and applications to traffic S Lim, H Balakrishnan, D Gifford, S Madden, D Rus International Journal of Robotics Research 30 (6), 699-712, 2011 | 93 | 2011 |
| Practical route planning under delay uncertainty: Stochastic shortest path queries S Lim, C Sommer, E Nikolova, D Rus Robotics: Science and Systems 8 (32), 249-256, 2013 | 56 | 2013 |
| Drer: Deep learning–based driver’s real emotion recognizer G Oh, J Ryu, E Jeong, JH Yang, S Hwang, S Lee, S Lim Sensors 21 (6), 2166, 2021 | 55 | 2021 |
| Stochastic distributed multi-agent planning and applications to traffic S Lim, D Rus 2012 IEEE International Conference on Robotics and Automation, 2873-2879, 2012 | 49 | 2012 |
| Congestion-aware traffic routing system using sensor data J Aslam, S Lim, D Rus 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 41 | 2012 |
| Real-time driver identification using vehicular big data and deep learning D Jeong, MS Kim, KT Kim, TW Kim, JH Jin, CS Lee, S Lim 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 36 | 2018 |
| Stochastic motion planning with path constraints and application to optimal agent, resource, and route planning S Lim, D Rus 2012 IEEE International Conference on Robotics and Automation, 4814-4821, 2012 | 33 | 2012 |
| Driver state estimation by convolutional neural network using multimodal sensor data S Lim, JH Yang Electronics Letters 52 (17), 1495-1497, 2016 | 29 | 2016 |
| One-stage brake light status detection based on YOLOv8 G Oh, S Lim Sensors 23 (17), 7436, 2023 | 27 | 2023 |
| Congestion-aware multi-agent path planning: distributed algorithm and applications S Lim, D Rus The Computer Journal 57 (6), 825-839, 2014 | 26 | 2014 |
| Causal affect prediction model using a past facial image sequence G Oh, E Jeong, S Lim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
| HMM-based indoor localization using smart watches' BLE signals D Han, H Rho, S Lim 2018 IEEE 6th International Conference on Future Internet of Things and …, 2018 | 13 | 2018 |
| Causal affect prediction model using a facial image sequence G Oh, E Jeong, S Lim arXiv preprint arXiv:2107.03886, 2021 | 12 | 2021 |
| Autonomous vehicle fuel economy optimization with deep reinforcement learning H Kim, H Pyeon, JS Park, JY Hwang, S Lim Electronics 9 (11), 1911, 2020 | 12 | 2020 |
| Development of complexity index and predictions of accident risks for mixed autonomous driving levels Y Park, JH Yang, S Lim 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 12 | 2018 |
| Fast shadow detection for urban autonomous driving applications S Park, S Lim 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 11 | 2009 |
| Effect of emotion on galvanic skin response and vehicle control data during simulated driving M Lee, S Lee, S Hwang, S Lim, JH Yang Transportation research part F: traffic psychology and behaviour 93, 90-105, 2023 | 10 | 2023 |
| Development of a simple robotic driver system (SimRoDS) to test fuel economy of hybrid electric and plug-in hybrid electric vehicles using fuzzy-PI control K Hwang, J Park, H Kim, TY Kuc, S Lim Electronics 10 (12), 1444, 2021 | 10 | 2021 |
| Deep reinforcement learning based dynamic proportional-integral (PI) gain auto-tuning method for a robot driver system J Park, H Kim, K Hwang, S Lim IEEE Access 10, 31043-31057, 2022 | 8 | 2022 |
