Recognition of damaged arrow-road markings by visible light camera sensor based on convolutional neural network

H Vokhidov, HG Hong, JK Kang, TM Hoang, KR Park - Sensors, 2016 - mdpi.com
Automobile driver information as displayed on marked road signs indicates the state of the
road, traffic conditions, proximity to schools, etc. These signs are important to insure the …

[PDF][PDF] ROI-wise Reverse Reweighting Network for Road Marking Detection.

X Zhang, Y Yuan, Q Wang - BMVC, 2018 - bmvc2018.org
Road markings provide essential navigation information for automated driving and driver
assistant systems. As road markings vary dramatically in scale and shape, different markings …

Automating intersection marking data collection and condition assessment at scale with an artificial intelligence-powered system

K **e, H Sun, X Dong, H Yang, H Yu - Computational Urban Science, 2023 - Springer
Intersection markings play a vital role in providing road users with guidance and information.
The conditions of intersection markings will be gradually degrading due to vehicular traffic …

Research and practice of China's intelligent coal mines

L Cong, W **ngru - 2021 International Conference on Computer …, 2021 - ieeexplore.ieee.org
This paper reviewed the development process and the current status of comprehensive
mechanized coal mining equipment technology in China. The definition and technical …

A review of non-lane road marking detection and recognition

A Morrissett, S Abdelwahed - 2020 IEEE 23rd International …, 2020 - ieeexplore.ieee.org
Environment perception is a critical function used by driving automation systems, or self-
driving cars, for detecting objects such as obstacles, lane markings, and road signs. In order …