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This paper proposes a novel vehicle color classification method which uses the concept of probabilistic latent semantic analysis (pLSA) to overcome the problem of sparse representation in data classification. Sparse representation is widely used and quite successful in many vision-based applications. However, it needs to calculate the sparse reconstruction cost (SRC) of each sample to find the best...
Sudden brake seems to be unavoidable in driving practice to prevent from accidence. The sudden brake may often cause falling risks to on-board passengers in public transport and even threaten the lives of the senior. Thus, this paper presents an omnidirectional vision system to assist bus drivers in ensuring the safety for passengers. To this end, we configure an auxiliary camera in the boarding gate...
Research in traffic light recognition (TLR) has stagnated compared to related computer vision areas, such as pedestrian detection and and traffic sign recognition. We focus on the detection sub-problem, since this is the most challenging problem and solving this is the key to a successful TLR system. This is done by looking at four detectors from different author groups and their reported results...
Recognition of driving-view image is the most important future issue in a smart tachograph. The intersection imaging recognition is one of the important issues in driving-view image recognition. In addition to using in the GPS satellite positioning correction in the metropolitan area, it can also be applied to the traffic lights imaging recognition in an intersection. With some samples analyzing,...
Autonomous control of Flapping Wing Vehicles (FWVs) through sophisticated software units is challenging due to its inherent complex motion characteristics. This article emphasize on the development of graphical user interface (GUI) for the control of FWVs to achieve superior maneuverability. A vision based computer control interface is developed for manual as well as autonomous performance of FWVs...
This paper presents a quantum particle swarm optimization solutions for the problem of license plate location, the first image of the vehicle local area adaptive illumination compensation image preprocessing, improving the quality of the picture. Then use the YCbCr color model signals a band compression to achieve illumination compensation. Based on this paper proposes a quantum particle swarm optimization...
In this paper an automated vehicle detection and traffic density estimation algorithm has been developed and validated for very high resolution satellite video data. The algorithm is based on an adaptive background estimation procedure followed by a background subtraction at every video frame. The vehicle detection is performed through a further mathematical morphology and statistical analysis on...
This paper proposes a method to track vehicle in highway using CAMShift-based method. The Continuously Adaptive Mean Shift (CAMShift) is a well-known algorithm in object tracking. However, the ordinary CAMShift works fairly well only for tracking object that can identify by hue, when the difference between object color and background is large. This is not the case in vehicle tracking. The objective...
While much work in the domain of traffic lights recognition is invested in the detection of traffic lights, classification of their exact state (including color phase and possible arrow pictogram) is often neglected. In this paper, we propose a robust approach for efficient video-based classification of said state with particular attention to the displayed pictogram and an additional ability to reject...
Lane detection and tracking and departure warning systems are important components of Intelligent Transportation Systems. They have particularly attracted great interest from industry and academia. Many architectures and commercial systems have been proposed in the literature. In this paper, we discuss the design of such systems regarding the following stages: pre-processing, detection, and tracking...
When moving towards fully autonomous navigation, safety plays the most important role for both pedestrian and driver. This paper proposes a method to estimate the lane road region of interest based on the stopping typical distance of a vehicle required by the current speed of the vehicle. This was achieved by taking advantage of the difference in color of the road surface given by the lane marking...
The Unmanned Aerial System (UAS) market once belonged to professional companies only. Now many amateur pilots fly cheap, smartphone controlled models available in any electronic store. Due to altitude, speed, and weight, these flying objects can cause damage and injury. Hence, a way to manage them is necessary. This paper presents a UAS Traffic Management (UTM) system comprising three components:...
The paper designs and implements a real-time speed limit sign recognition and over-speed warning system on android mobile devices. The proposed system can inform car drivers the current speed limit by recognizing speed limit signs. Furthermore, we also combine GPS function with speed limit sign recognition to warn car drivers in over-speed condition which can avoid car drivers to get punished tickets...
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...
In applications involving autonomous vehicle or camera assisted driving it is important to have a generic prior understanding of the highway scene. We present a visually salient feature-based approach for road image understanding. We use salient features for object localization, near-far distinction and urban-rural scene classification; these tasks have such applications as in adjusting a vehicle's...
This paper proposes a new vehicle color classification scheme to identify vehicles with their colors. To detect vehicles from roads, the paper proposes a novel symmetrical descriptor to determine the ROI of each vehicle without using any motion features. This scheme provides two advantages; there is no need of background subtraction and it is extremely efficient for real-time applications. After detection,...
This paper proposes the control design and implementation of an intelligent vehicle combined with robotic manipulator and computer vision. It can be roughly divided into three main directions for the design of intelligent vehicle, including path planning of mobile vehicle, position control of robot arm system and appropriate applications of image recognition. For the consideration of path planning...
Obstacle detection on the road is a key function for self-driving vehicles. A lot of research has focused on detecting large obstacles such as cars and pedestrians. Small obstacles can also be the source of serious accidents, especially at high speed. We present an approach for detecting anomalies on the road using a higher-order Boltzmann machine. As opposed to conventional anomaly detectors the...
Presently, discrete-event dynamic systems represent a significant group of varied systems e.g. computer networks, manufacturing systems, communication systems, database systems etc. An important class of discrete-event systems are automated storage and retrieval systems (AS/RS). There is a big demand for new modelling and control methods of these systems in automotive industry in Slovakia. These systems...
Recently, quite cheap depth sensors are available, and they are intended to be used for the user interface of games. By exploiting the features of the sensors, the author has been developing various useful systems by using the depth data. In this paper, a new application of breathing rate counting system is developed by using the depth values to the surface of the body. By experimental studies, we...
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