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Proceedings ArticleDOI

Vehicle lane detection and following based on vision system and laser scanner

TLDR
In this article, a road lane detection technique based on an on-board PC-based vision system was developed based on a four wheel motors electric model vehicle with embedded FPGA control structure for experimental tests on campus sport field.
Abstract
The road lane detection technique is developed based on an on-board PC-based vision system. Different image processing techniques were adopted to find out the lane relative location on camera image, This lane information is integrated with vehicle frontal view laser scanning information to plan the vehicle moving path based on cubic-spline trajectory planning and generate the vehicle steering angle command on-line as an advanced driving assistance system. These lane and obstacle detection system are installed on a four wheel motors electric model vehicle with embedded FPGA control structure for experimental tests on campus sport field.

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Citations
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Journal ArticleDOI

Sports image detection based on FPGA hardware system and particle swarm algorithm

TL;DR: This assessment development image as a thing to ponder the usage of image acknowledgment development is set itself up as a demonstrating ground to test the suitability of the investigation framework that sees the affirmation of contenders, games affirmation, sports lead judgment, etc.
Proceedings ArticleDOI

Lane Line Detection Computer Vision System Applied to a Scale Autonomos Car: AutoModelCar

TL;DR: In this article, a vision system of an autonomous vehicle scaled to detect the lane lines in the Au-to-ModelCar category of robotics tournaments is presented, using a modular integration architecture in ROS and OpenCV as a computer vision library, embedded in an NVIDIA Jetson Nano card.
Journal Article

Real-time Robust Lane Detection and Warning System using Hough Transform Method

TL;DR: A robust lane detection based on Canny edge detection and Hough is presented, which is an important aspect of many intelligent transport systems.
Proceedings ArticleDOI

A Sliding Window for Path Mapping Based on a Pseudo-Derivative Method in Autonomous Navigation

TL;DR: The method proposed herein uses a pseudo-derivative approach to sliding windows that improves upon the traditional technique by dynamically adjusting the windows along both image dimensions during each slide by using the directional components of a vector representing the previous slide as a naive estimation to perform the current slide.
Journal ArticleDOI

Vehicle Lane Detection and Tracking System for Car Safety

TL;DR: Previous lane detection methods and algorithms are reviewed and the limitations are studied and analyzed to evaluate the more robust detection systems and to improve the accuracy of detection system.
References
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Journal ArticleDOI

Robust Lane Detection and Tracking in Challenging Scenarios

TL;DR: A robust lane-detection-and-tracking algorithm to deal with challenging scenarios such as a lane curvature, worn lane markings, lane changes, and emerging, ending, merging, and splitting lanes is presented.
Journal ArticleDOI

Motion planning for formations of mobile robots

TL;DR: A method of planning motion for formations of mobile robots with non-holonomic constraints is presented, which allows a certain class of formations to be maintained while the group as a whole exhibits motion.
Journal ArticleDOI

Robust lane markings detection and road geometry computation

TL;DR: This work adapted RANSAC, a generic robust estimation method, to fit a parametric model of a pair of lane lines to the image features, based on both ridgeness and ridge orientation, which it claims addresses detection reliability better.
Journal ArticleDOI

Pedestrian Detection and Tracking in an Urban Environment Using a Multilayer Laser Scanner

TL;DR: To improve the robustness of pedestrian detection using a single laser sensor, a detection system based on the fusion of information located in the four laser planes is proposed, which uses a nonparametric kernel-density-based estimation of pedestrian position of each laser plane.
Journal ArticleDOI

Environment-Detection-and-Mapping Algorithm for Autonomous Driving in Rural or Off-Road Environment

TL;DR: An environment-detection-and-mapping algorithm for autonomous driving that is provided in real time and for both rural and off-road environments and test results have shown that the vehicle can reach the desired goal with the proposed algorithm.