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Although several (semi-) automatic parking sys- tems have been presented throughout the years [1]–[12], car manufacturers are still looking for low-cost sensors providing redundant information about the obstacles around the vehicle, as well as efficient methods of processing this information, in the hope of achieving a very high level of robustness. We therefore investigated how Local Motion Sensors...
Japan is one of the leading country of the aging society. For traffic as well, the number of the traffic accidents caused by senior driver is increasing year by year. So we have to make countermeasure for it ahead of the other countries. Currently, Japanese government moved into actions for example to have the campaign for returning of the senior drivers’ licenses, or oblige senior driver who doesn’t...
The technological development of the improvement to a mobile robot prototype detector of gamma radiation is shown. The mobile robot has been tested in two configurations, (wheel differential configuration with two side traction wheels and anotherconfiguration with four drive wheels). This platform for its small size (drive wheels 11 cm in diameter) and it can be applied in laboratory to test algorithms...
We take a look at current state of traffic sign classification discussing what makes it a specific problem of visual object classification. With impressive state-of-the-art results it is easy to forget that the domain extends beyond annotated datasets and overlook the problems that must be faced before we can start training classifiers. We discuss such problems, give an overview of previous work done,...
Drowsy driving is considered one of the most serious causes of fatal traffic accidents, especially for long distance drivers who struggle significantly during monotonous driving conditions. As a result, various types of warning systems have been proposed among other preventive measure against drowsy driving. These systems issue a warning upon detecting a decline in driving performance as indicated...
In this paper, we introduce a new strategy of using VANET nodes with visual sensors and wireless transceivers to build an instant camera barrier for a given mission period. Given a set of properly equipped VANET nodes whose drivers voluntarily join the protocol by exposing their future travel plans and use onboard equipment to transmit realtime video to the authority, we aim to maintain the barrier...
Visualizing road traffic datasets involves representing junctions, their links, and the attributes of those links. Current traffic visualization techniques are not sufficient for professional traffic engineers, as they are limited in the number of attributes that can be represented. This paper proposes a new approach to visualize multiple attributes on graph edges without compromising their visibility...
It is vital for the transportation industry, which performs most of their work by automobiles, to reduce its number of traffic accidents. Many local governments in Japan have made potential risk maps of traffic accident spots. However, making such maps in wide areas and with the time information had been difficult because most of them are made based on an investigation. Utilizing long-term driving...
Perceptual mechanisms humans use in motion planning and guidance are responsible for their agile and versatile capabilities. Their understandings would help advance both autonomous control and improve human-machine interfaces. This paper extends prior work by collecting human trajectory and gaze data while performing simulated first-person motion guidance tasks. This data is considered under the hypothesis...
For aging social infrastructure, robot technology is effective for the inspection and maintenance. Such capabilities are similar to those required in the disaster response robots. The application of response robot technology to frequently-used maintenance robots for infrastructure accelerate the social implementation of the response robots. In the paper, the concept and outlines of Japan Virtual Robotics...
In this paper we propose a new control method for quadrotor autonomous landing on a visual target without linear velocity measurements. Only onboard sensing is exploited, such that only the images of the landing pad from a down-looking camera, along with data from an Inertial Measurement Unit's gyro, are used. The control system consists of an image-based nonlinear observer that estimates online the...
This article is about vehicles detection from visual data which is an important part of automotive driving assistance systems. It is a big challenge to make the vehicles detection more robust. In order to enhance the robustness, a lane lines stabilization methods is proposed by studying the imaging model. Next, a hypothesis generation and verification framework is applied for saving time. Finally,...
At present, the collection of connected vehicles data is not a problem any more but the platform and visualization are the most needed for traffic data. Management of the collected data, platform operation, and visualization technology are the topics of this paper. Through using the new ECharts data visualization tool, we could achieve large data in real-time display with an ordinary WEB browser.
This paper describes the first known man-packable unmanned surface vehicle (USV) system designed for radiation localization, either for nuclear treaty verification or sampling after a nuclear incident. Currently, outdoor radiation sampling is done manually or by ground or aerial unmanned systems. An unmanned surface vehicle can operate in shallow nuclear facility cooling ponds and connected streams,...
Traditional vehicle recognition and retrieval systems are almost based on vehicle license plate recognition, which requires the user to provide images containing the license plate of the vehicle. In order to recognize and retrieve vehicles more convenient and efficient, and solve the problem of missing or wrong license plate, this paper proposes a method based on the overall appearance characteristics...
In this paper, a simple approach for estimating the ego-motion of a vehicle is proposed. The system can estimate the motion based on a sequence of images and point cloud data. The system is capable of estimate the ego-motion through a 2-D to 3-D mapping of the detected features on the image considering that the calibration parameters of the sensors are available. Singular value decomposition is used...
In this paper, we will report our virtual evaluation tool which can be used for a simultaneous evaluation of driving acuity and spatial perceptual capacity. This system has been developed in a multidisciplinary team consisting of systemic neuroscientists and computer scientists. Our approach is to develop a portable system which is cost effective to be used in hospitals, driving schools or even police...
Rotary-wing unmanned aerial vehicles (UAV) are being widely used in different applications due to its several features, such as mobility, lightweight, embedded processing and capability of flying in different height levels. Among the possible applications they are used in surveillance tasks, agriculture environments monitoring, power lines inspections and diseases detection in crops. The images captured...
In this paper we present a method for calculating inertial motion feedback in a teleoperation setup. For this we make a distinction between vehicle-state feedback that depends on the physical motion of the remote vehicle, and task-related motion feedback that provides information about the teleoperation task. By providing motion feedback that is independent of vehicle motion we exploit the spatial...
This paper proposes a novel method for synthetic aperture radar (SAR) target detection by using multi-scale SAR images based on visual attention model, which can automatically find the vehicle targets from the complicated background with clutters such as trees and buildings. In our method, firstly, a saliency map is obtained from a Gaussian pyramid of the original SAR image, where the image scales...
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