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Cardiovascular disease (CVD) is a considerable risk factor of driving. The pain of cardiac events distracts driver's concentration, and ischemia brought by the CVD induces incapacity of driving. In this study, a prototype of the automated safety vehicle stop system has been developed. The system collects bio-signals through the steer-sensor and recognizes the driver's posture by a camera, and detects...
Insufficient time headway is an important reason for rear-end collisions. To prevent this type of accident, a series of discontinuous line markings were installed on the surface of the slow lane of a real-world expressway in China. Statistical analyses showed that, after the installation of discontinuous line markings, 1) the mean time headway was increased, 2) the time headway distributions were...
Nowadays most of the areas digital images are get into the picture and play a major role in satellite television, television broadcasting, research and technology such as geographical information systems and astronomy. The information collected by image sensors is usually contaminated with noise. Imperfect instruments problems with data acquisition process and interfering natural phenomena of all...
Deterministic communication is currently a fundamental requirement for many real-time systems, such as drive-bywire and autonomous driving solutions; however, in the last few years there has been a sustained increase in the number of other type of on-board connected devices such as actuators, rear vision cameras and multimedia services using different networks on the same vehicle, thus adding weight...
The image-based control method can operate a mobile robot by controlling only image information acquired from camera images without using the robot states. This paper is devoted to design a car-like mobile robot that possesses autonomous angle parking and perpendicular parking capability by using an image-based fuzzy controller. A parking frame which is drawn on the floor is detected by a robot that...
This paper presents a detailed, systematic procedure for developing a Micro Aerial Vehicle (MAV), which is capable of autonomous flight in GPS-denied environments. This MAV is designed for a gross weight of 490 g and flight endurance of 8 minutes. The hardware structure (including the sensors, processors, and mechanical components), the software architecture (including operating system, navigation,...
Many vehicle accidents are caused by driver fatigue. Systems to monitor driver fatigue can contribute to a decrease in fatalities. This paper describes the development of a multi-sensor system for driver fatigue detection. The system achieves this by monitoring eye closure and wheel steering movements, and is able to alert the driver of any detected anomalies. Various techniques are suggested for...
This paper proposes a technique for determining the position of a moving vehicle using LED street lights and a CMOS sensor camera. In this system, LED street lights transmit their identification codes to a camera attached on the vehicle. Then, a single view geometry technique is used to determine the position of the camera. Normally, the high speed of the vehicle combined with the rolling shutter...
This paper addresses design and implementation of a multi-channels intelligent surveillance system (ISS). The system is developed for handling multiple source data from four different camera networks. It processes the incoming frames simultaneously using a multi-threading strategy and automatically detect any suspicious event on the monitoring area. Different with the existing commercial systems,...
Collision accidents have become a crucial and urgent problem. Advanced Driver Assistance Systems (ADAS) can enhance traffic safety and improve efficiency. Toward this direction, we propose a robust low-cost system based on monovision to estimate the accurate 3D pose information of the target vehicles for further behavior prediction. Firstly, we combine the Haar features with AdaBoost classification...
In this paper, we propose a vision-based traffic light and arrow detection algorithm for intelligent vehicles. We detect all three traffic light colours along with the arrow direction robustly for varying illuminations and traffic lights. A fine-tuned convolutional neural network is used in an offline phase to localise the traffic light region-of-interest within a given camera image. Given the constrained...
With the rapid development and reduced cost of digital video capturing devices, driving video recorders (DVRs) begin to gain widespread popularity. What is seen and what happens along the way can thus be recorded in videos. However, searching for a specific scene or event among such massive video collections is laborious and tedious. In this paper, we develop a speed-adaptive street view image generation...
To enable an effective traffic management and signal control, it is important to know the road traffic density. In recent years, video surveillance based systems and monitoring tools have been widely used for obtaining road traffic density for traffic management. To address the needs of autonomous traffic data extraction and video analysis, a vast body of research exists. However, these schemes are...
In the field of intelligent vehicle systems (IVS), color and edge of lane markings are important features for vision-based applications. This paper proposes a method to detect lane marking based on a fusion approach which combine color and edge lane marking information. Firstly, by knowing the vehicle speed the road surface region of interest is extracted using the typical stopping distance. Secondly,...
Nowadays, the rapid increase in the number of the automobiles on the highway and urban roads have created many challenges regarding the proper management and control of the traffic. Detection and tracking of vehicles using the traffic surveillance system gives more promising way to manage and control the road traffic. Vehicle surveillance represents a challenging task of moving object segmentation...
Recently, increasing efforts have been focused on the development and adoption of autonomous underwater vehicles (AUVs) for various applications. However, the GPS signals are usually unavailable, the vehicle dynamics is very uncertain, and the complicated vision based localization algorithms may not work well in the underwater environments. Hence, accurate and timely state estimation using low-cost...
This paper focuses on applying human postures and face tracking technologies to design an autonomous patrol vehicle control system, which contains a wireless video surveillance ability. The entire system includes the following several parts: (1) Obtaining the skeleton joints based on the Kinect skeleton tracking: the angles and distances between each human arm's joint are calculated to be the input...
Route planning system of smart vehicles based on monocular vision could be applied to monitor the production line in industrial field. This system has achieved much functionality including image processing, monocular vision range finding, virtual map generating, global route planning and obstacle avoiding, etc. In this paper, we present an optimized ant colony algorithm based on ground colors and...
In order to account for robustness of Automotive safety applications, fusion of data from multiple sensors is of remarkable importance to know the position of road obstacles. Challenges arise in Multi Sensor Data Fusion (MSDF) due to sensor uncertainty, multiple occluding targets and clutter by changing weather conditions. The proposed architecture address the problem by fusing information cooperatively...
This paper describes the tracking guidance for the autonomous UAV landing and the vision-based detection of the marker on the moving vehicle with the real-time image processing system. The detection of the marker is based on the color detection algorithm with morphological filter and the tracking guidance is based on the relative distance between the UAV and the vehicle. In order to track and land...
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