A practical method of road detection for intelligent vehicle

Gao, Dingshan; Li, Wei; Duan, Jianmin; Bao, Zheng

doi:10.1109/ical.2009.5262562

Cited by 26 publications

(9 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To overcome the limitation of vanishing point based methods, image segmentation based methods are proposed, which normally contain two steps: first, color [7][8][9][10], texture [9], road boundaries [10] or the mixture of these features [11] are used to cluster pixels [12] into a series of individual regions. Then the road region is determined by prior knowledge and machine learning methods.…”

Section: Introductionmentioning

confidence: 99%

Road detection algorithm for Autonomous Navigation Systems based on dark channel prior and vanishing point in complex road scenes

Ding

Zhang

et al. 2016

Robotics and Autonomous Systems

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Road detection algorithm for Autonomous Navigation Systems based on dark channel prior and vanishing point in complex road scenes

Ding

Zhang

et al. 2016

Robotics and Autonomous Systems

View full text Add to dashboard Cite

“…Recently, Gao, Li, Duan, and Zheng [12] presented a practical algorithm for road detection based on computer vision which implements the lane recognition and vehicle detection. Enya and Kakizaki [13] proposed a display device for showing a virtual image of a vehicle.…”

Section: Introductionmentioning

confidence: 99%

Simulation of intelligent window-type warning system for vehicles

Jiang

Chen

Wei

2011

Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety

View full text Add to dashboard Cite

A window-type warning system for vehicles is proposed. Auxiliary information is directly displayed on the windshield of a vehicle. According to the image information of obstacles and the driver from cameras, the coordinates of the obstacles relative to the moving vehicle are calculated in realtime. The line of vision equation is constructed from coordinates of the driver and an obstacle. The explicit equation of the intersection point between the line of vision and the windshield surface is derived using the algebraic method. Based on the mathematical model of the window-type warning system, a computer simulation program is constructed to demonstrate the feasibility of the proposed system.

show abstract

“…7 Based on, 8 three main methods for lane detection using cameras includes: model of the lane markings, color information, and feature information method including edge, gradient and intensity. 9,10 About road information, it makes the mathematical model of the lane markings, such as B-spline, 11 where candidate points are extracted from the lane markings. About color information, it applies a threshold to the image based on RGB and HSL color space, and places an 8-bit image.…”

Section: Introductionmentioning

confidence: 99%

Perception, Planning and Control for Self-Driving System Based on On-board Sensors

Dai

Lee

2014

Advances in Mechanical Engineering

View full text Add to dashboard Cite

The autonomous vehicle can recognize and understand environment, self-control, and achieve the driving level of the human driver. To create this kind of system, the following work was carried out: (a) a real time lane detection system is proposed, based on vision system functions, using webcam camera; (b) In order to detect curve lanes, deep learning is applied for lane detection, based on fully Convolutional Neural Network (CNN); (c) The cubic spline interpolation method is used for path generation, based on Global Positioning System (GPS) data, where distance between two adjacent path generation points is same. Compared with the connection method of the cubic polynomial fitting algorithm, the curve fitted path by the cubic spline interpolation method is smoother and more satisfied with the vehicle motion pattern; (d) Based on frenet coordinate frame, optimize trajectory planning method is used to plan safe, easy and comfort trajectory. Compared to the Cartesian coordinate frame, frenet coordinate frame simplifies the solution of road curve fitting problems, especially in the case of complex road environment; (e) Fuzzy sliding mode control method is proposed for vehicle steering control. Finally, the simulation and experiment results are used to prove the effectiveness of the proposed methods.

show abstract

A practical method of road detection for intelligent vehicle

Cited by 26 publications

References 4 publications

Road detection algorithm for Autonomous Navigation Systems based on dark channel prior and vanishing point in complex road scenes

Road detection algorithm for Autonomous Navigation Systems based on dark channel prior and vanishing point in complex road scenes

Simulation of intelligent window-type warning system for vehicles

Perception, Planning and Control for Self-Driving System Based on On-board Sensors

Contact Info

Product

Resources

About