Development of an embedded road boundary detection system based on deep learning

作者：

Highlights：

• An algorithm for road/lane detection for driving assistance systems

• The lane detection system employs the Nvidia Jetson embedded system

• A convolution auto-encoder is used to obtain an image with clear lane markings

• A particle filter algorithm is used for lane tracking

摘要

•An algorithm for road/lane detection for driving assistance systems•The lane detection system employs the Nvidia Jetson embedded system•A convolution auto-encoder is used to obtain an image with clear lane markings•A particle filter algorithm is used for lane tracking

论文关键词：Deep learning,Embedded system,Hyperbola model,Lane detection,Particle filter

论文评审过程：Received 23 November 2018, Revised 8 February 2020, Accepted 12 May 2020, Available online 19 May 2020, Version of Record 8 June 2020.

论文官网地址：https://doi.org/10.1016/j.imavis.2020.103935