Journal ArticleDOI
A new road tracking method based on heading direction detection
Xiaoxin Guo,Qun Li,Chao Sun +2 more
- Vol. 233, Iss: 2, pp 232-248
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TLDR
A novel and general road tracker based on optical flow computation, which can be applied to most of road environments including the case of a lack of lane markings or road boundaries, is proposed.Abstract:
Current research on road tracking is mostly based on the visual perception of road boundaries. In this paper, we propose a novel and general road tracker based on optical flow computation, which ca...read more
Citations
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Journal ArticleDOI
A Robust Road Vanishing Point Detection Adapted to the Real-world Driving Scenes
TL;DR: Zhang et al. as discussed by the authors proposed a robust motion-based road vanishing point detection method based on stable motion detection, stationary point-based motion vector selection, and angle-based RANSAC (RANdom SAmple Consensus) voting.
Journal ArticleDOI
Autonavi3at Software Interface to Autonomously Navigate on Urban Roads Using Omnidirectional Vision and a Mobile Robot
TL;DR: The urban road following scheme proposed in AutoNavi3AT uses vanishing point estimation and tracking on panoramic images to control the mobile robot heading on the urban road, which is useful for mobile robots and autonomous vehicles when they are moving on urban roads.
Journal ArticleDOI
A Multiobjective Stochastic Optimization Scheme for the Problem of Chemical Production for Sugarcane Companies
TL;DR: In this paper , a multiobjective optimization stochastic scheme for production planning for sugarcane companies under uncertainty is presented, which considers three stages: the first stage comprises the mass and energy balances for determining process flows, the second stage considers the formulation of a Multiobjective Deterministic Model (MODM) by considering two objective functions: maximizing the gross margin and minimizing the environmental impact.
References
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Proceedings Article
An iterative image registration technique with an application to stereo vision
Bruce D. Lucas,Takeo Kanade +1 more
TL;DR: In this paper, the spatial intensity gradient of the images is used to find a good match using a type of Newton-Raphson iteration, which can be generalized to handle rotation, scaling and shearing.
Journal ArticleDOI
Determining optical flow
TL;DR: In this paper, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Proceedings ArticleDOI
Determining Optical Flow
TL;DR: In this article, a method for finding the optical flow pattern is presented which assumes that the apparent velocity of the brightness pattern varies smoothly almost everywhere in the image, and an iterative implementation is shown which successfully computes the Optical Flow for a number of synthetic image sequences.
Book ChapterDOI
High Accuracy Optical Flow Estimation Based on a Theory for Warping
TL;DR: By proving that this scheme implements a coarse-to-fine warping strategy, this work gives a theoretical foundation for warping which has been used on a mainly experimental basis so far and demonstrates its excellent robustness under noise.
Proceedings ArticleDOI
Secrets of optical flow estimation and their principles
TL;DR: It is discovered that “classical” flow formulations perform surprisingly well when combined with modern optimization and implementation techniques, and while median filtering of intermediate flow fields during optimization is a key to recent performance gains, it leads to higher energy solutions.