Fuel Rate Prediction for Heavy-Duty Trucks L Liu, W Li, D Wang, Y Wu, R Yang, W Shi IEEE Transactions on Intelligent Transportation Systems 24 (8), 8222-8235, 2023 | 2 | 2023 |
SLAM Sharing Among Heterogeneous Sensors R Zhong, L Liu, W Shi 2023 IEEE International Conference on Mobility, Operations, Services and …, 2023 | | 2023 |
FollowMe: A Robust Framework for the Guidance of Sensorless Indoor Mobile Robots S Udupa, L Liu, W Shi 2023 IEEE International Conference on Mobility, Operations, Services and …, 2023 | | 2023 |
Compositional mixed-criticality systems with multiple executions and resource-budgets model A Al Arafat, S Vaidhun, L Liu, K Yang, Z Guo 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium …, 2023 | 2 | 2023 |
An Open Approach to Energy-Efficient Autonomous Mobile Robots L Liu, R Zhong, A Willcock, N Fisher, W Shi 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 | 1 | 2023 |
Predictable DNN Inference for Autonomous Driving L Liu Wayne State University, 2023 | | 2023 |
Prophet: Realizing a predictable real-time perception pipeline for autonomous vehicles L Liu, Z Dong, Y Wang, W Shi 2022 IEEE Real-Time Systems Symposium (RTSS), 305-317, 2022 | 14 | 2022 |
Understanding time variations of dnn inference in autonomous driving L Liu, Y Wang, W Shi arXiv preprint arXiv:2209.05487, 2022 | 8 | 2022 |
Computing Systems for Autonomous Driving W Shi, L Liu Springer, 2021 | 19* | 2021 |
A pulse‐and‐glide‐driven adaptive cruise control system for electric vehicle Z Tian, L Liu, W Shi International Transactions on Electrical Energy Systems 31 (11), e13054, 2021 | 6 | 2021 |
4C: A computation, communication, and control co-design framework for CAVs L Liu, S Liu, W Shi IEEE Wireless Communications 28 (4), 42-48, 2021 | 10 | 2021 |
Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware T Wu, B Wu, S Wang, L Liu, S Liu, Y Bao, W Shi IEEE Robotics and Automation Letters 6 (4), 7301-7308, 2021 | 16 | 2021 |
Computing systems for autonomous driving: State of the art and challenges L Liu, S Lu, R Zhong, B Wu, Y Yao, Q Zhang, W Shi IEEE Internet of Things Journal 8 (8), 6469-6486, 2020 | 287 | 2020 |
HydraSpace: computational data storage for autonomous vehicles R Wang, L Liu, W Shi 2020 IEEE 6th International Conference on Collaboration and Internet …, 2020 | 17 | 2020 |
Energy-efficient machine learning on the edges M Kumar, X Zhang, L Liu, Y Wang, W Shi 2020 IEEE international parallel and distributed processing symposium …, 2020 | 29 | 2020 |
Equinox: A road-side edge computing experimental platform for cavs L Liu, Y Yao, R Wang, B Wu, W Shi 2020 International Conference on Connected and Autonomous Driving (MetroCAD …, 2020 | 24 | 2020 |
Energy aware edge computing: A survey C Jiang, T Fan, H Gao, W Shi, L Liu, C Cérin, J Wan Computer Communications 151, 556-580, 2020 | 165 | 2020 |
LoPECS: A low-power edge computing system for real-time autonomous driving services J Tang, S Liu, L Liu, B Yu, W Shi IEEE Access 8, 30467-30479, 2020 | 61 | 2020 |
A comparison of communication mechanisms in vehicular edge computing L Liu, B Wu, W Shi 3rd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 20), 2020 | 16 | 2020 |
E2M: an energy-efficient middleware for computer vision applications on autonomous mobile robots L Liu, J Chen, M Brocanelli, W Shi Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 59-73, 2019 | 25 | 2019 |