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Energy-Efficient Machine Learning on the Edges., , , , and . IPDPS Workshops, page 912-921. IEEE, (2020)SafeShareRide: Edge-Based Attack Detection in Ridesharing Services., , , and . SEC, page 17-29. IEEE, (2018)HydraSpace: Computational Data Storage for Autonomous Vehicles., , and . CIC, page 70-77. IEEE, (2020)Prophet: Realizing a Predictable Real-time Perception Pipeline for Autonomous Vehicles., , , and . RTSS, page 305-317. IEEE, (2022)Collaborative cloud-edge computation for personalized driving behavior modeling., , , , and . SEC, page 209-221. ACM, (2019)INGR Edge Services and Automation Roadmap - 2022 Edition., , , , , , , , , and . FNWF, page 1113-1169. IEEE, (2022)AutoVAPS: an IoT-enabled public safety service on vehicles., , , , , and . SCOPE@CPSIoTWeek, page 41-47. ACM, (2019)LoPECS: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services., , , , and . IEEE Access, (2020)E2M: an energy-efficient middleware for computer vision applications on autonomous mobile robots., , , and . SEC, page 59-73. ACM, (2019)Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model., , , , and . RTAS, page 67-79. IEEE, (2023)