Runtime ML-DL Hybrid Inference Platform Based on Multiplexing Adaptive Space-Time Resolution for Fast Car Incident Prevention in Low-Power Embedded Systems

Runtime ML-DL Hybrid Inference Platform Based on Multiplexing Adaptive Space-Time Resolution for Fast Car Incident Prevention in Low-Power Embedded Systems

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Forward vehicle detection is the key technique to preventing car incidents in front. Artificial intelligence (AI) techniques are used to more accurately detect vehicles, but AI-based vehicle detection takes a lot of processing time due to its high computational complexity. When there is a risk of co...

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Bibliographic Details
Main Authors: Hong, S. (Author), Park, D. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Accidents
Autonomous vehicles
Chemical detection
Computational complexity
Computer vision
deep learning
Deep learning
Detection algorithm
Detection speed
Embedded systems
forward collision warning system
Forward collision warning system
Forward vehicle detections
lightweight object detection
Lightweight object detection
Low power embedded systems
machine learning
Object detection
Object recognition
Runtimes
Signal detection
Vehicle performance
Vehicles detection
vision processing
Vision processing
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