In this letter, we propose a novel approach using wireless sensor networks (WSNs) to enhance the safety and efficiency of four-way stop-sign-controlled (FWSC) intersections. The proposed algorithm provides right of way (RoW) and crash avoidance information by means of an intelligent WSN system. The system is composed of magnetic sensors, embedded in the center of a lane, with relay nodes and a ...

Since road signs are officially managed by local government, they are reliable information for drivers. For systematic managing the road sign information, it is necessary to construct road sign database. In this paper, we deals with automatic road direction information extracting algorithm from road sign imagery obtained by MMS (Mobile Mapping System). Our algorithm consists of three phase. In ...

A method for automatic recognition of road signs identified in digital video images is proposed. The method is based on features extracted from cumulative histograms and supervised classification. The training of the classifier is done with a small number of images (1 to 6) from each sign type. A practical experiment with 260 images and 26 different road sign was carried out. The average classi...

We present here a first prototype of a “Speed Limit Support” Advance Driving Assistance System (ADAS) producing permanent reliable information on the current speed limit applicable to the vehicle. Such a module can be used either for information of the driver, or could even serve for automatic setting of the maximum speed of a smart Adaptive Cruise Control (ACC). Our system is based on a joint ...

Traffic sign and mile-marker detection and classification are among the important components of highway asset management systems. The significant number of these high-quantity and low-cost assets in US highways can negatively impact on quality of any manual data collection and analysis. To address these challenges, this paper presents an efficient pipeline for video-based detection and classifi...

In an outdoor, off-road mobile robotics environment, it is important to identify objects that can affect the vehicle’s ability to traverse its planned path, and to determine their three-dimensional characteristics. In this paper, a combination of three elements is used to accomplish this task. An imaging ladar collects range images of the scene. A color camera, whose position relative to the la...

Road obstacles cause serious accidents that have a severe impact on driver safety, traffic flow efficiency and damage of the vehicle. Detecting obstacles are important to prevent or to reduce such kind of the accidents and fatalities. However, it is difficult and becomes tricky because of some problems like presence of shadow, environmental changes or a sudden action of any moving things (e.g.,...

PURPOSE To investigate the effect of various presbyopic vision corrections on nighttime driving performance on a closed-road driving circuit. METHODS Participants were 11 presbyopes (mean age, 57.3+/-5.8 years), with a mean best sphere distance refractive error of R+0.23+/-1.53 DS and L+0.20+/-1.50 DS, whose only experience of wearing presbyopic vision correction was reading spectacles. The s...

Deep neural network-based classifiers are known to be vulnerable to adversarial examples that can fool them into misclassifying their input through the addition of small-magnitude perturbations. However, recent studies have demonstrated that such adversarial examples are not very effective in the physical world—they either completely fail to cause misclassification or only work in restricted ca...