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V-DaT: A Robust method for Vehicle Detection and Tracking
2021
Turkish Journal of Computer and Mathematics Education
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Still, many challenging problems remain unsolved, such as addressing vehicle occlusions and reducing false detection. In this work, a method for vehicle detection and tracking is proposed. ...
multi-directional filtering and fusion based background subtraction, thresholding, directional filtering and morphological operations for moving vehicle detection. ...
[14] developed a robust multilane detection and tracking method where they used in-vehicle mono-camera and a forward-looking LIDAR technique. ...
doi:10.17762/turcomat.v12i2.2092
fatcat:o6okrw56ovcnjdwcdhcopxkcsu
Study on Stereo Vision-based Cross-country Obstacle Detection Technology for Intelligent Vehicle
2007
Third International Conference on Natural Computation (ICNC 2007)
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The original images are preprocessed by Gaussian filter and contrast-limited adaptive histogram equalization (CLAHE) method to weaken the effect of noise, light and contrast. ...
Cross-country intelligent vehicles always work in complicated environments with varying illuminations. ...
Introduction Cross-country obstacle detection is one of the main components of intelligent vehicle guidance. ...
doi:10.1109/icnc.2007.693
dblp:conf/icnc/LiWZ07
fatcat:p2kpam7gq5avrfklxgu6foedoe
A Review On Lane Detection And Tracking Techniques
2016
Zenodo
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The main goal of these systems is to detect the lane stripes and to warn the driver in case of the vehicle tend to depart from the lane. ...
Many intelligent vehicles transport systems have the lane detection system as an important element while driving. Therefore,Lane detection and tracking is the challenging task in computer vision. ...
In presence of
stop lines at
cross walks,
nearby
vehicles
detection not
proper
C. ...
doi:10.5281/zenodo.1466247
fatcat:fnrya3lzxnaohdutft6yklqwqu
A Survey on Vehicle Detection based on Vision
2015
Modern Applied Science
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Many approaches use differe</span><span lang="EN-GB">nt types of information such as shadow, edge, light, to detect the vehicles. Here vision based vehicle detection techniques were summarized. ...
Following topics discussed below, camera placement and the various applications of monocular vehicle detection, common features and common classification methods, motion- based approaches and nighttime ...
In [7], SURF: Speeded up Robust Features and edges were combined to detect vehicles in the blind spot. ...
doi:10.5539/mas.v9n12p118
fatcat:2wasqlhgaje7ra2w6fdah6m3oy
A Lane Centerline Recognition System Based on Improved High Efficiency Hough transform
2020
International journal of engineering research and technology
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Lane detection is a vital part of the intelligent vehicle detection system. ...
In this paper, to improve the lane recognition rate more than the conventional method, we preprocess the collected images first, include image grayscale, Sobel operator edge detection and binarization ...
ACKNOWLEDGEMENTS This work was supported by Korea Hydro & Nuclear Power company through the project "Nuclear Innovation Center for Haeoleum Alliance" and "Industrial technology infrastructure building ...
doi:10.37624/ijert/13.11.2020.3913-3918
fatcat:2w5qnskqzbabppiksfkrujjjsu
A Novel Approach for On-road Vehicle Detection and Tracking
2016
International Journal of Advanced Computer Science and Applications
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The tracking process was performed based on edge features matching approach. The Kalman filter was used to correct the measurements. ...
vehicle, to vehicle detection and tracking. ...
CONCLUSION In this work, a novel vehicle detection and tracking method was proposed. This method is robust in the context of real traffic scenes. ...
doi:10.14569/ijacsa.2016.070181
fatcat:amfddm75vffplflejqo5oxvwlu
Vision-based Vehicle Detection Survey
2016
International Journal of Recent Contributions from Engineering, Science & IT
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Different parameters have been analyzed in this paper which includes camera placement and the various applications of monocular vehicle detection, common features and common classification methods, motion ...
Previous works on the vehicle detection listed based on camera poisons, feature based detection and motion based detection works and night time detection. ...
In [7] , SURF: Speeded up Robust Features and edges were combined to detect vehicles in the blind spot. ...
doi:10.3991/ijes.v4i1.5590
fatcat:smijyealynb6ffqiybuuxftmvq
Lane Departure and Collision Controlling using Image Processing
2019
International Journal of Engineering and Advanced Technology
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Here, road lane detection, tracking method and warning alert system is proposed and implemented using MATLAB software. ...
This paper displays the warning message for each departure of the vehicle and thus avoiding the collision. ...
method. ...
doi:10.35940/ijeat.f8498.088619
fatcat:5befxqohxjasjid6ckx7xsoykm
Development of Vehicle Speed Estimation Technique using Image Processing
2020
International Journal of Engineering Research and
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And then, the gradient edge detection algorithm is used for moving vehicle edge extraction. The next step is template matching by using a normalized cross-correlation method. ...
This paper proposed a novel computer vision-based automated system for multi-vehicle detection, tracking, and estimation of vehicle speed in a video sequence by using image processing. ...
The median is a more robust method and much better in sharp edges preserving compared to the mean filter method [16] . ...
doi:10.17577/ijertv9is090187
fatcat:psaonkwbmvf5vp7cswjp3j3wwe
AUTOMATIC PEDESTRIAN CROSSING DETECTION AND IMPAIRMENT ANALYSIS BASED ON MOBILE MAPPING SYSTEM
2017
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Firstly, pedestrian crossing classifier is trained with low recall rate. Then initial detections are refined by utilizing projection filtering, contour information analysis, and monocular vision. ...
Finally, a pedestrian crossing detection and analysis system with high recall rate, precision and robustness will be achieved. ...
ACKNOWLEDGEMENTS This work was supported in part by the National Natural Science Foundation of China with project number 41571434 and 41322010. ...
doi:10.5194/isprs-annals-iv-2-w4-251-2017
fatcat:fji3sjq2zjcptiyt4ncgjh3pk4
Real-Time Vehicle Detection Using Cross-Correlation and 2D-DWT for Feature Extraction
2019
Journal of Electrical and Computer Engineering
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Vehicle detection can be exploited to accomplish several tasks such as computing the distances to other vehicles, which can help the driver by warning to slow down the vehicle to avoid collisions. ...
In this paper, we propose an efficient real-time vehicle detection method following two steps: hypothesis generation and hypothesis verification. ...
In our proposition, at the hypothesis generation step, vehicle candidates are determined by using cross-correlation after preprocessing using edge detection to improve the results. e cross-correlation ...
doi:10.1155/2019/6375176
fatcat:3v6vzvgcgjfp7aotybi46ns6aa
Robust Lane-Detection Method for Low-Speed Environments
2018
Sensors
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Vision-based lane-detection methods provide low-cost density information about roads for autonomous vehicles. ...
The experimental results show that the method is robust and efficient and can meet the real-time requirements of autonomous vehicles. ...
An improved method based on symmetrical local threshold (SLT) is proposed in this paper to provide effective and robust edge detection by adding an accuracy width constraint. ...
doi:10.3390/s18124274
pmid:30518167
fatcat:sp4h7pcfknhtdd3ud44eroqbvi
Multi-lane Detection Based on RMFP for Autonomous Vehicle Navigation in Urban Environments
2016
Revista de la Facultad de Ingeniería
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Lastly, the clustering method is used to generate lane lines, and these lines are tracked by frame association and Kalman Filter. ...
This paper presents a robust and real-time multi-lane detection method based on road marking feature points (RMFP) for autonomous vehicle navigation in an urban environment. ...
Therefore, a real-time and robust lane detection method is very important for autonomous vehicle vision navigation. ...
doi:10.21311/002.31.5.18
fatcat:m363mxijobcdhmxb5cxvcnl4iy
Two Images Comparison with Invariance to Illumination Properties
2019
2019 IEEE International Conference on Image Processing (ICIP)
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Index Terms-Image comparison, invariance to illumination, bilateral filtering. ...
Moreover, we show that the proposed operator is relatively robust to strong noise on one of the compared images. ...
Fast implementations of the bilateral filter were proposed by several authors, see for instance [5] . These usually extends to joint/cross bilateral filters [6] . ...
doi:10.1109/icip.2019.8803019
dblp:conf/icip/Tarel19
fatcat:2asllubkcvci7gqharo4oclk3e
Laser-camera Compositite Sensing for Road Detection and Tracking
2005
International Journal of Robotics and Automation
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However, vision alone methods for extraction of such curbs or road edge features with accurate depth information is a formidable task as the curb is not conspicuous in the vision image and also it requires ...
Experimental results are presented to demonstrate the viability, and effectiveness, of the proposed methodology and its robustness to different road configurations and shadows. ...
In our application, the LMS is used mainly to detect the road boundaries or edges as defined by the curbs. ...
doi:10.2316/journal.206.2005.3.206-2705
fatcat:w2f35tug2zbtvmbm4yxirifi2e
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