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The applications of computer vision are widely used in traffic monitoring and surveillance. In traffic monitoring, detection of vehicles plays a significant role. Different attributes such as shape, color, size, pose, illumination, shadows, occlusion, background clutter, camera viewing angle, speed of vehicles and environmental conditions pose immense and varying challenges in the detection phase...
Kangaroo vehicle collisions are a serious problem threatening the safety of the drivers on Australian roads. It is estimated, according to a recent report by Australian Associated Motor Insurers, that there are around 20,000 kangaroo vehicle collisions during year 2015 in Australia. As a result, more than AU \$75 million in insurance claims, and a number of animal and human severe injuries and fatalities...
Unfamiliar urban intersections pose high demand on drivers. They are not only engaged in correctly assessing large amount of visual stimuli, including multiple diverse moving objects (e.g. other vehicles, pedestrians, cyclists) but also actively processing instructions provided by navigation system, either in-car or on other devices such as smart-phones. In such a highly dynamic and engaging situation,...
A driver's inattention to or disregard for the minimum safety distance creates a hazardous situation in which avoiding a rear-end collision is nearly impossible. In a joint effort to implement safety and decision-making processes at an individual level, we present in this paper a cooperative approach to increase the driver's visual awareness of safe distances. Our Tailigator system garners information...
This document describes a distance measurement system for underwater applications with computer vision and an Artificial Neural Network (ANN). The developed system is installed in the observation class remotely operated vehicle (ROV) Visor3, to be used in experimental testing. An integrated camera with two laser pointers are used to obtain input data to a Multi-Layer Perceptron (MLP) ANN, trained...
In this paper, we propose the dense disparity map-based pedestrian detection method for intelligent vehicle. The dense disparity map is utilized to improve the pedestrian detection performance. Our method consists of several steps namely, obstacle area detection using road feature information and column detection, pedestrian area detection using dense disparity map-based segmentation, and pedestrian...
Modern vehicles are equipped with numerous driver assistance and telematics functions, such as Turn-by-Turn navigation. Most of these systems rely on precise positioning of the vehicle. While Global Navigation Satellite Systems (GNSS) are available outdoors, these systems fail in indoor environments such as a car-park or a tunnel. Alternatively, the vehicle can localize itself with landmark-based...
High Occupancy Vehicle (HOV) and High Occupancy Tolling (HOT) lanes have been commonly practiced in several jurisdictions to reduce traffic congestion and promote car pooling. Camera-based methods have been recently proposed for a cost-efficient, safe and effective HOV/HOT lane enforcement with the prevalence of video cameras in transportation imaging applications. An important step in automated lane...
In recent years, the demands for Advanced Driving Assistance Systems (ADAS) is increasing, and pedestrian detection methods using an in-vehicle camera have been widely studied. In the case of pedestrian detection using an in-vehicle camera, since road environment varies widely, it is very difficult to do so accurately by a single classifier. This wide variety could also be understood as large intra-class...
Collisions between Heavy Goods Vehicle and Vulnerable Road Users such as cyclists or pedestrians often result in severe injuries of the weaker road users. Blind Spot Mirrors and advanced Blind Spot Detection systems assist in avoiding collisions. Blind Spot Mirrors are however only useful if the drivers are trained to use them. The paper describes the development of a monitoring solution for assist...
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 addresses the challenging domain of vehicle classification from pole-mounted roadway cameras, specifically from side-profile views. A new public vehicle dataset is made available consisting of over 10000 side profile images (86 make/model and 9 sub-type classes). 5 state-of-the-art classifiers are applied to the dataset, with the best achieving high classification rates of 98.7% for sub-type...
The detection of vehicles driving on busy urban streets in videos acquired by airborne cameras is challenging due to the large distance between camera and vehicles, simultaneous vehicle and camera motion, shadows, or low contrast due to weak illumination. However, it is an important processing step for applications such as automatic traffic monitoring, detection of abnormal behaviour, border protection,...
Commercial motor vehicles are mandated to display a valid U.S. Department of Transportation (USDOT) identification number on the side of the vehicle. Automatic recognition of USDOT numbers is of interest to government agencies for the efficient enforcement and management of the commercial trucks. Near infrared (NIR) cameras installed on the side of the road, to capture an image of an incoming truck,...
Obstacle detection for advanced driver assistance systems has focused on building detectors for only a few number of object categories so far, such as pedestrians and cars. However, vulnerable obstacles of other categories are often dismissed, such as wheel-chairs and baby strollers. In our work, we try to tackle this limitation by presenting an approach which is able to predict the vulnerability...
In this paper we present a method for roadside vegetation detection from video obtained from a moving vehicle with intended use in road infrastructure maintenance and traffic safety. While many published methods are using Near Infrared images which are suitable for vegetation detection, our method uses image features from the visible spectrum allowing the use of a common color camera. The presented...
In this paper, we present a novel interface for teleoperating ground vehicles. Obstacle avoidance with ground vehicles demands a high level of operator attention, typically distracting from the primary mission. The Ambient Obstacle Avoidance (AOA) was designed to allow operators to effectively perform a primary task, such as search, while still effectively avoiding obstacles. The AOA wraps around...
Practical surveillance systems deployed in urban scenarios need to operate 24/7 under a wide range of environmental conditions. As modern video analytics shift from blob-based to object-centered architectures, appearance-based object detection under different weather conditions and lighting effects emerges as a critical yet largely unaddressed problem. This paper investigates this research topic,...
Deformable part models (DPM) already proved great performance for objects detection and many extensions have already published in literature. DPMs generally have high performance, though they dramatically fail to detect objects in challenging environments such as night time. This paper proposes a method based on the idea of latent parts to optimize the structure of objects in deformable part models...
In conjunction with the advancing development of driver assistance systems, driver observation becomes increasingly important. This paper proposes a new approach for driver's head pose estimation. With a stereo camera mounted in a realistic position on top of the center stack the system continuously tracks the orientation of the driver's head in realtime (25fps) using solely 3-D information. The systems...
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