CNN-based Object Detection on Low Precision Hardware: Racing Car Case Study.
Nicolò De RitaAlessandro AimarTobi DelbrückPublished in: IV (2019)
Keyphrases
- object detection
- case study
- car racing
- low cost
- hardware and software
- cellular neural networks
- computer vision
- object class
- face detection
- real world
- convolutional neural network
- scene understanding
- object recognition
- lessons learned
- real time
- vlsi implementation
- massively parallel
- hardware implementation
- object categories
- multi class
- computing power
- computer systems
- object classification
- human detection
- deformable part models
- image processing
- software development
- embedded systems
- high end
- development process
- background subtraction