accelerating ai-defined cars
Convergence of Edge Computing, Machine Vision and 5G-Connected Vehicles
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In this paper, the application of AI inferencing in Autonomous Vehicles along with a detailed explanation of the deep learning architecture, innovations in video for machines (VFM) and the enabling 5G technology are presented. We conclude with a description of the main challenges and solutions for the application of deep learning for AV-based solutions.
“Self-driving cars will play a crucial role in accomplishing the ambitious vision of “zero accidents”, “zero emissions”, and “zero congestion” of the automotive industry.”
Gain insights into the automotive AI landscape, industry issues, and the direction of the autonomous vehicle market. Highlights include:
- Automotive AI market forecast through 2025
- Sensors required for self-driving cars
- Video for Machine processing and 5G V2X
- Collaborative edge-cloud computing
- CPU vs. GPS vs. FPGA vs. ASIC
- Autonomous vehicle’s function and technologies