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Combining monocular and stereo-vision for real-time vehicle ranging and tracking on multilane highways
2011
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)
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The system then detects vehicles in the image plane using an active learning-based monocular vision approach. ...
Utilizing a calibrated stereo-vision rig, the proposed approach combines monocular detection with stereo-vision for on-road vehicle localization and tracking for driver assistance. ...
Active Learning-Based Monocular Vehicle Detection For detecting vehicles, we utilize monocular image data from the left camera of the stereo rig. ...
doi:10.1109/itsc.2011.6082916
dblp:conf/itsc/SivaramanT11
fatcat:u2kahamvcnfdnm26pbzfsmx4xu
A review of recent developments in vision-based vehicle detection
2013
2013 IEEE Intelligent Vehicles Symposium (IV)
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This document provides a review of the past decade's literature in on-road vision-based vehicle detection. ...
We detail advances in vehicle detection, discussing representative works from the monocular and stereo-vision domains. ...
STEREO-VISION FOR VEHICLE DETECTION Motion-based approaches are more common than appearance-based approaches to vehicle detection using stereo-vision. ...
doi:10.1109/ivs.2013.6629487
dblp:conf/ivs/SivaramanT13
fatcat:z2ygschnajaovcf65g5kur4mq4
Partially occluded vehicle recognition and tracking in 3D
2013
2013 IEEE Intelligent Vehicles Symposium (IV)
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The proposed system detects vehicles using an active-learning based monocular vision approach and motion (optical flow) cues. ...
In this paper, we present a visionbased system for vehicle localization and tracking for detecting partially visible vehicles. ...
Active-learning has shown to significantly increase the performance of a classifier for vehicle detection [28] . ...
doi:10.1109/ivs.2013.6629654
dblp:conf/ivs/Ohn-BarST13
fatcat:3t6cb4g6sbetrfayqbcsutldsm
Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis
2013
IEEE transactions on intelligent transportation systems (Print)
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We detail advances in vehicle detection, discussing monocular, stereo vision, and active sensor-vision fusion for on-road vehicle detection. ...
We discuss vision-based vehicle tracking in the monocular and stereo-vision domains, analyzing filtering, estimation, and dynamical models. ...
ACKNOWLEDGMENT The authors would like to thank the reviewers for their comments and suggestions and Dr. B. Morris and A. Mogelmose, their colleagues, for their valuable assistance and interactions. ...
doi:10.1109/tits.2013.2266661
fatcat:mnrg7yy3tbcqfcow35nzwz4nai
Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks
2017
The European Symposium on Artificial Neural Networks
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Therefore, in this paper, we focus on improving the classification component in the pedestrian detection task on the Daimler stereo vision data set by adopting two approaches: 1) by combining three image ...
Pedestrian detection is a highly debated issue in the scientific community due to its outstanding importance for a large number of applications, especially in the fields of automotive safety, robotics ...
A cascade Aggregated Channel Features detector is used in [10] to generate candidate pedestrian windows followed by a CNN-based classifier for verification purposes on monocular Caltech and stereo ETH ...
dblp:conf/esann/PopRNB17
fatcat:qibnbc75orfh7lmzp3gyw7qiam
Navigation Architecture for Autonomous Surveillance Rover
2009
Journal of clean energy technologies
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The paper proposes Navigation Architecture for Autonomous mobile robot navigating, exploring and avoiding obstacles in both outdoor and indoor environment. ...
Our unique architecture not only avoids them while navigating but also detect faces and stores the various faces that it comes across.Our algorithm is described in two steps. ...
Multilevel architecture for navigation, based on a stereo vision system has been worked upon [7] . ...
doi:10.7763/ijcte.2009.v1.37
fatcat:47jypbln4bbj3e54wlbxjweoia
Moving Vehicle Detection Using AdaBoost and Haar-Like Feature in Surveillance Videos
[article]
2018
arXiv
pre-print
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In this paper, vehicles detected based on the boosting technique by Viola Jones. Our proposed system is tested in some real scenes of surveillance videos with different light conditions. ...
It has an important role in many computer vision applications such as vehicle tracking, analyzing the traffic scene and efficient traffic management. ...
Vehicle lights represent a salient feature at night. In stereo vision-based methods, there are two types of methods for vehicle detection. ...
arXiv:1801.01698v1
fatcat:ll6wdoz7jfd3phc7z34pbjqfja
Pedestrian collision avoidance systems: a survey of computer vision based recent studies
2006
2006 IEEE Intelligent Transportation Systems Conference
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The paper reviews various approaches based on cues such as shape, motion, and stereo used for detecting pedestrians from visible as well as non-visible light sensors. ...
This is followed by the study of research dealing with probabilistic modeling of pedestrian behavior for predicting collisions between pedestrian and vehicle. ...
Uses AdaBoost and cascading for classification, based on shape and motion features. ...
doi:10.1109/itsc.2006.1706871
dblp:conf/itsc/GandhiT06
fatcat:woolpbxkjvhmbl2stjhdnsuway
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
2006
International Journal of Computer Vision
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This paper presents a multi-cue vision system for the real-time detection and tracking of pedestrians from a moving vehicle. ...
For example, shape-based detection activates a weighted combination of texture-based classifiers, each attuned to a particular body pose. ...
Four detection modules are considered: (sparse) stereo-based ROI generation, shape-based detection, texture-based classification and (dense) stereo-based verification. ...
doi:10.1007/s11263-006-9038-7
fatcat:tl4bkrrxjfa6hae6waqxqypr7a
Stereo-based Pedestrian Detection using Multiple Patterns
2009
Procedings of the British Machine Vision Conference 2009
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This paper presents two different ways for utilizing the stereo ROIs. The first one is to classify the stereo ROIs individually and integrate the classification scores to obtain the final decision. ...
In order to alleviate these difficulties, we propose a new human detection framework which makes the most use of stereo vision. ...
This paper deals with pedestrian detection from a moving vehicle. The conventional methods for pedestrian detection can roughly be classified into two categories; monocular-based and stereo-based. ...
doi:10.5244/c.23.94
dblp:conf/bmvc/HattoriSNW09
fatcat:7duslauyobbhrg7z2g6iuxkc7e
Vehicle Detection by Independent Parts for Urban Driver Assistance
2013
IEEE transactions on intelligent transportation systems (Print)
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In this paper, we introduce vehicle detection by independent parts (VDIP) for urban driver assistance. ...
VDIP provides a lightweight robust framework for detecting oncoming, preceding, sideview, and partially occluded vehicles in urban driving. ...
Ramanan for their contributions and for making their source code available. ...
doi:10.1109/tits.2013.2264314
fatcat:kyemjnhdcjdrdazfmobeg23ajq
Review of Recent Automated Pothole-Detection Methods
2022
Applied Sciences
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The automated pothole-detection methods can be classified into three types according to the technology used in the pothole-recognition process: a vision-based method, a vibration-based method, and a 3D ...
The detection process and technology proposed in the latest research related to automated pothole detection are described for each method. ...
Two methods are based on stereo-vision analysis of road environments ahead of the vehicle: the single-frame stereo-vision-based method and the multiframe fusion-based method. ...
doi:10.3390/app12115320
fatcat:lxpv7kfinfcv5mdeyd66hxtpuq
A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle
[article]
2020
arXiv
pre-print
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The system is a real-time multi-scheme integrated innovation system, which combines stereo matching algorithm with machine learning based obstacle detection approach and takes advantage of the distributed ...
Then a machine learning, which is based on fusion technology of monocular and binocular, is applied to detect the obstacles. ...
Finally, we propose a target recognition method based on machine learning to improve the robustness and accuracy for detecting distant objects.
Processing unit. ...
arXiv:2001.09678v1
fatcat:gtq5aj4xrzdhhkob6r2rwowlca
Machine Learning in Image Processing
2008
EURASIP Journal on Advances in Signal Processing
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Negri et al. propose an algorithm for the onboard vision vehicle detection problem using a cascade of boosted classifiers. ...
In the next paper, "A cascade of boosted generative and discriminative classifiers for vehicle detection," P. ...
doi:10.1155/2008/927950
fatcat:5yq3erodcvdt5idczn5xdpodbi
Making Bertha See
2013
2013 IEEE International Conference on Computer Vision Workshops
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Next-generation stereo vision was the main sensing component and as such formed the basis for the indispensable comprehensive understanding of complex traffic situations, which are typical for narrow European ...
With the market introduction of the 2014 Mercedes-Benz S-Class vehicle equipped with a stereo camera system, autonomous driving has become a reality, at least in low speed highway scenarios. ...
Vehicle Detection and Tracking Vision-based vehicle detection in the near-range (up to 40 m) involves a very similar system concept as is used for pedestrian recognition, see above. ...
doi:10.1109/iccvw.2013.36
dblp:conf/iccvw/FrankePRKESH13
fatcat:7zb774kdtve2fds5y53t7tvtqu
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