Electronics, Volume 12, Issue 18
September-2 2023 - 251 articles
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Cover Story: The main goal of this publication is to explore hardware acceleration techniques in the field of motion prediction for autonomous vehicles. In this paper, a set of techniques to bring a computationally expensive, state-of-the-art motion prediction algorithm to real-time execution are presented with the goal of achieving a standard motion-planning execution frequency of 5 Hz. This is achieved by applying novel and existing parallelization algorithms that take advantage of graphic processing units (GPUs) through the compute unified device architecture (CUDA) programming language and managing to produce an average 5x speedup over raw C++ in the studied cases. The optimizations are evaluated using public datasets and a real vehicle on a test track. View this paper