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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...
Driving behavioral data is too high-dimensional for people to review their driving behavior. It includes accelerator opening rate, steering angle, brake Master-Cylinder pressure and other various information. The high-dimensional data is not very intuitive for drivers to understand their driving behavior when they take a look back on their recorded driving behavior. We used a deep sparse autoencoder...
This paper proposes a camera-based visibility estimation method for a traffic sign. The visibility here indicates how a visual target is easy to be detected and recognized by a human driver (not a machine). This research aims at realizing a nuisance-free driver assistance system which sorts out information depending on the visibility of a visual target, in order to prevent driver distraction. Our...
The detection of a traffic light on the road is important for the safety of persons who occupy a vehicle, in a normal vehicles or an autonomous land vehicle. In normal vehicle, a system that helps a driver to perceive the details of traffic signals, necessary to drive, could be critical in a delicate driving manoeuvre (i.e crossing an intersection of roads). Furthermore, traffic lights detection by...
The authors examine the impact of residential photovoltaic arrays and electric vehicles on distribution transformers by using 3-D surface and 2-D filled contour plots. These visualizations, somewhat unorthodox to power distribution analysis, elucidate the impact of hundreds of assets on distribution transformers on a single view. The visualizations are created with a smart grid computer model that...
Around View Monitoring (AVM) system assists drivers by providing a more natural perspective of scenes (around the vehicle) to the driver, thus enhancing road safety. The AVM system usually employs several ultra-wide angle lens cameras to cover a large area around the vehicle. These camera lenses are usually spherical in nature and they suffer from severe distortions. Conventional distortion correction...
Vehicle detection and tracking plays an effective and significant role in the area of traffic surveillance system where efficient traffic management and safety is the main concern. In this paper, we discuss and address the issue of detecting vehicle / traffic data from video frames. Although various researches have been done in this area and many methods have been implemented, still this area has...
This paper describes a novel vision based texture tracking method to guide autonomous vehicles in agricultural fields where the crop rows are challenging to detect. Existing methods require sufficient visual difference between the crop and soil for segmentation, or explicit knowledge of the structure of the crop rows. This method works by extracting and tracking the direction and lateral offset of...
The proper identification of the traffic signs can ensure driving safety and can play a very important role in reducing the number of road accidents significantly. This paper represents a uniform way to detect the speed limit traffic signs and to confirm it by recognizing the sign's speed number. In this system, firstly the red color objects are segmented from an image using LVQ. Secondly, detected...
Traffic light is one of the important signs for drivers that help managing the car flow and reducing accident on the road. As of today technology, there exists a traffic light detection system that warns the driver to reduce the accident significantly. In this paper, we are concerned with only the red and yellow traffic light to reduce false positive and time consumption. The fast radial symmetry...
This paper presents a camera calibration method for estimating the intrinsic parameters of fish-eye cameras which would be utilized in the vehicle around view monitoring system. A calibration pattern is devised to provide the information for calibrating all of the fish-eye cameras simultaneously. The diagonal projection is applied to extract the feature points on the calibration pattern. The lens...
This paper presents an approach for pixel-wise object segmentation for road scenes based on the integration of a color image and an aligned 3D point cloud. In light of the advantage of range information in object discovery, we first produce initial object hypotheses by clustering the sparse 3D point cloud. The image pixels registered to the clustered 3D points are taken as samples to learn each object's...
In this work, to recognize the direction of turn signals, reflectance is decomposed from the original image. Instead of using heuristic features such as the symmetry, position and size of the rear-view vehicle, we focus on finding the invariant features to model turn signal scattering by scatter properties and then turn signals detection can be performed in a part-based manner. Experiment results...
Driver fatigue causes serious damages amongst all other road accidents. Around 20% of fatal road accidents involve driver fatigue. This paper describes a modern approach which will detect driver fatigue considering most of the fatigue symptoms. Eye closure, yawning, head tilting is the major symptoms of fatigue behavior. Inattentive vehicle movement in the road under fatigue condition is also accountable...
Using broadcast in vehicular applications such as autonomous cruise control and collaborative driving can disturb unrelated drivers and fail to convey the message due to unspecified receiver, resulting in increased risk of accidents. For supporting the unicast communication primitive, it is important to know the electronic identities (EIDs), e.g., the IP addresses and the relative positions of the...
The statistical features of individualized EEG signatures are examined as tools for potential color classification using EEG responses to color stimuli. Statistical features from some of the EEG channels are better suited for discerning color (of limited library). This study sheds some light on the suitability of EEG responses to color stimuli for color classification.
Dangerous glare detection during night driving is able to reduce car accidents because the driver has time to prepare for upcoming situations. Even though increasing driving concentration might be a good solution for this issue, wrong detection would still practically be an essential factor decreasing driver's visual performance. Furthermore, loss of driving vision could cause car accidents. This...
With the rise in traffic related crimes the need for an efficient automated surveillance system has become of utmost importance. This paper proposes a system to monitor video from traffic cameras and process it in real time for storing essential information of the vehicles in traffic. Histogram of Oriented Gradients (HOG) of extracted frames is used as features for classification (vehicle frame and...
The aim of the project is to detect and recognize traffic signs in video sequences recorded by an onboard vehicle camera. Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or prohibit certain actions. A fast real-time and robust automatic traffic sign detection and recognition can support and disburden the driver and significantly increase driving safety...
This paper describes an efficient method to detect traffic lights and recognize their corresponding signal count-down timings. Driver Assistance System (DAS) are applications installed in vehicles that provide guidance for safe driving. Traffic Light detection is also a part of the DAS. The work is split into two parts of which, the first part deals with the detection of traffic lights. The changing...
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