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This paper introduces a dramatically novel traffic signs recognition (TSR) system that can perform traffic sign detection and tracking simultaneously. The proposed approach utilizes intensity images and the depth images, in parallel, to robustly detect and track traffic signs in real-time. Additionally, we suggest to supplement the ordinary traffic signs with the corresponding quick-response (QR)...
For autonomous navigation the real-time processing is crucial. This paper proposes a method to detect the lane markings in real-time using the advantage of parallel processing. A region of interest is constrained by the current velocity of a vehicle. The segmentation was achieved by utilizing a difference in color between lane marking and road pavement. The overall process is divided into three steps...
This research addresses the problem of navigating a robotic vehicle autonomously on unstructured roads where road information is not accurate. A real-time system for finding and tracking unstructured road in off-road conditions is proposed. The subsystems of autonomous navigation — road detection, steering, and obstacle avoidance are discussed in detail. This method has been integrated into a vehicle...
In recent years, vehicle management systems have been expanded to include more fields and features. One important system which requires attention is the traffic congestion alert. All previous works on traffic congestion detection either need prior knowledge or lengthy time to detect and recognize the presence of congestion. Some other methods involve huge infrastructure in order to implement. The...
This paper introduces a real-time method to extract vehicles in road environment, and mainly includes four parts as follows: firstly, using Double Level background learning method to obtain a stable background image and get a rough vehicle area. Secondly, using HSV color space and texture characteristics of SILTP mixed constraint method to suppress the influence of shadow. Thirdly, using Energy Density...
Nowadays, there are many taxis traversing around the city searching for available passengers, but their hunts of passengers are not always efficient. To the dynamics of traffic and biased passenger distributions, current offline recommendations based on place of interests may not work well. In this paper, we define a new problem, global-optimal trajectory retrieving (GOTR), as finding a connected...
This paper presents a rear obstacle detection system based on depth information obtained from Kinect sensor. The proposed system can be used for parking assistance applications and backup aid. It improves the false detection rate in single view based algorithms by using depth information. In addition, real distance to obstacles can be calculated by depth information. It is possible to alarm to driver...
Based on the analysis of all kinds of circumstances about vehicles crossing the center yellow line of the road, and the existing algorithm, a local comparison algorithm based on histogram was put forward. Namely, the yellow line region is firstly decided based on the sample image. Then it is used as a template to mask the sample image and the captured images. Further, the similarity of histogram is...
Real-time image processing is a difficult work for traffic video monitoring. This paper proposed a method to detect and track vehicles on highway based on airship video and therefore calculate traffic parameters in real-time. A blocking road extraction was performed to determine the ROI, and automatically calculate the tilt of the road which contributes to vehicles detection. A lane marks registration...
For realizability and real-time processing consideration, a novel vehicle classification method is proposed for heavy traffic flow multi-lanes roads, which can classify vehicles into cars, trucks and buses. In order to monitor two lanes, our system uses three cameras which are mounted overhead of the road and look down the road at an angle of about 60 degrees. Two of them focus on the two lanes respectively...
Here we propose a complete system for robust detection and recognition of the current speed sign restrictions from a moving road vehicle. This approach includes the detection and recognition of both numerical limit and national limit (cancellation) signs with the addition of automatic vehicle turn detection. The system utilizes both RANSAC-based colour-shape detection of speed limit signs and neural...
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