×
Abstract: Road following is an important skill vital to the development and deployment of autonomous vehicles. Over the past few decades, a large number of ...
A vision system capable of accurately segmenting unstructured, nonhomogeneous roads of arbitrary shape under various lighting conditions is proposed, ...
This paper proposes a vision system that is capable of dealing with many of these limitations, accurately segmenting unstructured, nonhomogeneous roads of ar-.
Nov 21, 2024 · This paper describes a general framework for the detection and tracking of traffic and road signs from image sequences using only color information.
Color can be a useful feature in autonomous vehicle systems that are based on machine vision, for tasks such as obstacle detection, lane/road following, ...
Our proposed road detection algorithm works in two stages: i) vanishing point detection; and ii) road region identification.
Dec 6, 2018 · In this study, we investigate how to design a deep-learning based high-performance traffic light detection system.
Apr 13, 2017 · Real-time video is taken by a digital camera from a moving vehicle and real world road signs are then extracted using vision-only information.
This paper presents an adaptive real-time method based on statistical analysis of the colour of a road surface in a trapezoidal shape that corresponds to the ...
Missing: model- | Show results with:model-
Color model-based real-time learning for road following · Computer Science, Engineering. 2006 IEEE Intelligent Transportation Systems… · 2006.