Road environment perception algorithm in dark scene

In order to solve the technical problem that environment perception can be efficiently realized in a dark road scene, the invention provides a road environment perception algorithm in a dark scene, light supplement enhancement is carried out on a part lacking illumination in an image through a light...

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Hauptverfasser: CAO WEN, LIU LIWEI, ZHANG JUNPENG, YAN MENGXUE, XU MINJUN, LI XIUHUA, LIANG CHAO, YANG DONG, SUN JIAYU, HOU ALIN
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creator CAO WEN
LIU LIWEI
ZHANG JUNPENG
YAN MENGXUE
XU MINJUN
LI XIUHUA
LIANG CHAO
YANG DONG
SUN JIAYU
HOU ALIN
description In order to solve the technical problem that environment perception can be efficiently realized in a dark road scene, the invention provides a road environment perception algorithm in a dark scene, light supplement enhancement is carried out on a part lacking illumination in an image through a lightweight HDR dark light image enhancement method, a plurality of photos with different exposures are superposed, and a light-weight HDR dark light image enhancement method is provided. An image with wider brightness and color range is obtained, the quality of a picture shot in a dark environment is improved, and the improved picture is input into a YOLOv8 algorithm added with SPD-Conv and PSA polarized attention mechanisms. Three tasks of road target detection, drivable region segmentation and lane line segmentation are respectively carried out through a road target detection head, a drivable region segmentation head and a lane line segmentation head which are connected to a neck bottom layer C2f in parallel. 本发明所解决的
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
title Road environment perception algorithm in dark scene
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