Published 14-05-2023
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
Autonomous vehicles have garnered increasing attention due to advancements in deep learning algorithms [1]. Vision-based driving assistance often uses computational architectures like recurrent neural networks due to the low cost of cameras. However, self-driving car systems requiring the low-latency operation benefit from well-optimized software and hardware stacks. Further, the training process of deep learning models is computationally expensive, often taking days, or even weeks, to finish [2]. Deep learning is setting new benchmarks in various fields almost daily.
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