Journal ArticleDOI
Road detection algorithm for Autonomous Navigation Systems based on dark channel prior and vanishing point in complex road scenes
Reads0
Chats0
TLDR
A novel and efficient method for road detection in challenging scenes by using the dark channel based image segmentation to distinguish a rough road region from complex background noise and a new voting strategy based on the vanishing point and the properties of the segmented regions to reduce the computation time of road extraction stage.Citations
More filters
Posted Content
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection.
TL;DR: A traffic line detection method called Point Instance Network (PINet), based on the key points estimation and instance segmentation approach, which achieves competitive accuracy and false positive on the TuSimple and Culane datasets.
Journal ArticleDOI
Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation
TL;DR: In this paper, a state-of-the-art graphical model for semantic segmentation is extended to incorporate boat pitch and roll measurements from the on-board inertial measurement unit (IMU) and a stereo verification algorithm that consolidates tentative detections obtained from the segmentation.
Journal ArticleDOI
Path Planning and Control of Mobile Robot in Road Environments Using Sensor Fusion and Active Force Control
Mohammed A. H. Ali,Musa Mailah +1 more
TL;DR: A complete navigation algorithm that enables the WMR to autonomously navigate on the road with various scenarios using a novel approach called laser simulator (LS) and sensor fusion of a laser range finder, camera, and odometry measurements.
Journal ArticleDOI
Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
TL;DR: Point Instance Network (PINet) as discussed by the authors is a traffic line detection method based on the key points estimation and instance segmentation approach, which includes several hourglass models that are trained simultaneously with the same loss function.
Journal ArticleDOI
Road surface detection and differentiation considering surface damages
TL;DR: In this article, the authors presented an approach for road detection considering variation in surface types, identifying paved and unpaved surfaces and also detecting damage and other information on other road surfaces that may be relevant to driving safety.
References
More filters
Journal ArticleDOI
Single Image Haze Removal Using Dark Channel Prior
Kaiming He,Jian Sun,Xiaoou Tang +2 more
TL;DR: A simple but effective image prior - dark channel prior to remove haze from a single input image is proposed, based on a key observation - most local patches in haze-free outdoor images contain some pixels which have very low intensities in at least one color channel.
Journal ArticleDOI
Recent progress in road and lane detection: a survey
TL;DR: This paper presents a generic break down of the problem of road or lane perception into its functional building blocks and elaborate the wide range of proposed methods within this scheme.
Journal ArticleDOI
General Road Detection From a Single Image
TL;DR: This paper decomposes the road detection process into two steps: the estimation of the vanishing point associated with the main (straight) part of the road, followed by the segmentation of the corresponding road area based upon the detected vanishing point.
Journal ArticleDOI
Color-based road detection in urban traffic scenes
Yinghua He,Hong Wang,Bo Zhang +2 more
TL;DR: This paper presents a road-area detection algorithm based on color images that can overcome basic problems due to inaccuracies in edge detection based on the intensity image alone and due to the computational complexity of segmentation algorithms based oncolor images.
Journal ArticleDOI
Road Detection Based on Illuminant Invariance
Jose M. Alvarez,Antonio M. López +1 more
TL;DR: In this article, a shadow-invariant feature space combined with a model-based classifier is used to detect the free road surface ahead of the ego-vehicle.