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Understanding Time Variations of DNN Inference in Autonomous Driving
Understanding the time variations of the DNN inference becomes a fundamental challenge in real-time scheduling for autonomous driving.
A Pulse-and-Glide-driven Adaptive Cruise Control System for Electric Vehicle
As the adaptive cruise control system (ACCS) on vehicles is well-developed today, vehicle manufacturers have increasingly employed this technology in new-generation intelligent vehicles.
4C: A Computation, Communication, and Control Co-Design Framework for CAVs
Finally, we present several challenges to achieving the vision of the 4C framework.
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges
The recent proliferation of computing technologies, e. g., sensors, computer vision, machine learning, hardware acceleration, and the broad deployment of communication mechanisms, e. g., DSRC, C-V2X, 5G, have pushed the horizon of autonomous driving, which automates the decision and control of vehicles by leveraging the perception results based on multiple sensors.
Distributed, Parallel, and Cluster Computing Robotics
OpenEI: An Open Framework for Edge Intelligence
At the same time, we have witnessed the proliferation of AI algorithms and models which accelerate the successful deployment of intelligence mainly in cloud services.
