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arXiv · 2210.04735

Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations

Shokhrukh Miraliev·Shakhboz Abdigapporov·Jumabek Alikhanov·Vijay Kakani·Hakil Kim
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Abstract

A safe and robust autonomous driving system relies on accurate perception of the environment for application-oriented scenarios. This paper proposes deployment of the three most crucial tasks (i.e., object detection, drivable area segmentation and lane detection tasks) on embedded system for self-driving operations. To achieve this research objective, multi-tasking network is utilized with a simple encoder-decoder architecture. Comprehensive and extensive comparisons for two models based on different backbone networks are performed. All training experiments are performed on server while Nvidia Jetson Xavier NX is chosen as deployment device.

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Shokhrukh Miraliev, Shakhboz Abdigapporov, Jumabek Alikhanov, Vijay Kakani, Hakil Kim. 2022-10-10. Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations. https://arxiv.org/abs/2210.04735

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