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Due to the sparse distribution of road video surveillance cameras, precise trajectory tracking for hit-and-run vehicles remains a challenging task. Previous research on vehicle trajectory recovery mostly focuses on recovering trajectory with low-sampling-rate GPS coordinates by retrieving road traffic flow patterns from collected GPS information. However, to the best of our knowledge, none of them...
Lane estimation plays a central role for Driver Assistance Systems, therefore many approaches have been proposed to measure its performance. However, no commonly agreed metric exists. In this work, we first present a detailed survey of the current measures. Most of them apply pixel-level benchmarks on camera images and require a time-consuming and fault-prone labeling process. Moreover, these metrics...
This paper proposes a system for caring a physically impaired person by a mobile robot employing cooperative object recognition. It is a well-known fact that object recognition is not an easy task for a robot particularly in a real environment. It is, on the contrary, easy for a human. In the proposed system, a mobile robot goes to a spot where a user wishes to go in place of him/her and transfers...
The emerging of the intelligent transportation system especially in the research area of traffic surveillance and solving traffic congestions, become notably crucial for traffic operators in the aim of achieving efficient vehicle flow. However, behavioural manoeuvres that describe the pattern of vehicles movements and change of the vehicle flow are not sufficiently modeled based on the conventional...
Autonomous electric vehicle path following area has known wide improvement during the last previous years especially with the appearance of new sophisticated control algorithms. The main focus of these control algorithms is to guarantee high performance in term of stability and path tracking with small distance error. In this research, an overview about the most common technics used in autonomous...
Accurate prediction of the future locations of the host vehicle as well as that of the surrounding objects is one of the key challenges in improving road traffic safety. The traditional approach for this task has been using physics-based motion models such as kinematic and dynamic models, the result of which is not reliable for long-term prediction. In this paper, we present simulation results demonstrating...
In this paper, we focus on practical issues related to the implementation of real time locating systems (RTLS) in the context of vehicle-to-infrastructure (V2I) communication. These emerging concepts are an important part of novel areas such as Smart Cities and Intelligent Transportation Systems (ITS). Some problems encountered during the development of these systems result from the limitations of...
Traditional vehicular routing protocols cannot accurately foresee future location of each vehicle for efficient packet forwarding. Recently, the data mining approach has been applied to analyze huge vehicle trajectory data. In this paper, we propose a novel trajectory-based routing (NTR) protocol to improve the packet replication efficiency of vehicles in the Vehicular Delay Tolerant Network (VDTN)...
The interaction between a human driver and an automated driving system may improve when the automation is designed in such a way that it behaves in a human-like manner. This paper introduces a human-like steering model, in which the driver adapts to the risk due to uncertainty in the environment. Current steering models take a risk-neutral approach, while the fields of economics and sensorimotor control...
Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS) are being vigorously developed for improving traffic safety and transportation efficiency. AD and ADAS need to provide smooth and comfortable driving experiences to drivers and passengers as well as accommodation of other traffic. Individual drivers have different driving styles. This paper proposes a driver-adapted narrow road...
Road transportation is one of the main source of carbon dioxide emissions, and it is imperative to estimate the carbon dioxide contribution of road transportation precisely, so that carbon dioxide emission-reduction measures can be designed and implemented appropriately. Microscopic emission models and GPS trajectories are widely used in estimating carbon dioxide emissions. Microscopic emission models...
With the recent advances in the field of autonomous driving, large scale deployment of such vehicles on public roads is both foreseeable and intended by many manufacturers. In order to not only maintain safety, but also driving comfort and comprehensibility at all times it is necessary to develop and implement modularized and standardized interfaces for planning and information exchange. In this paper,...
An increasing number of people use smartphone applications to plan their trips. Unfortunately, for various reasons, bus trips suggested by such applications are not as reliable as other trip types (e.g. by car, on foot, or by bicycle), which can result in excessive waiting time, or even the need to revise a planned trip. Traditional punctuality-based bus service reliability metrics do not capture...
Intelligent Intersection Traffic Management has become increasingly important because of the need to reduce congestion and improve the overall travel experience of commuters. Given the dynamic nature of everyday city traffic, this paper proposes real-time processing of videos from cameras to estimate the traffic density and optimize the signal parameters of the intersection. The region-of-interest...
This paper details the design of an autonomous vehicle CAD toolchain, which captures formal descriptions of driving scenarios in order to develop a safety case for an autonomous vehicle (AV). Rather than focus on a particular component of the AV, like adaptive cruise control, the toolchain models the end-to-end dynamics of the AV in a formal way suitable for testing and verification. First, a domain-specific...
In this paper, a new potential field approach is proposed for trajectory planning and control in autonomous vehicles. The potential field of the surrounding environment is generated including vehicles, road boundaries and lane centers. Based on the predicted positions of the vehicles, the location of the ego vehicle and the surrounding potentials are synchronized. In addition, the potential fields...
In recent years, stricter regulation of vehicle emissions, increasing fuel prices and government grants have lead to a rapidly growing interest in electrical mobility. However, potential customers are discouraged by the limited range of electric vehicles involving reduced flexibility. This paper presents a modern, real-time capable approach using road data obtained from an advanced navigation system...
Understanding human mobility patterns is of great importance for planning urban and extra-urban spaces and communication infrastructures. The omnipresence of mobile telephony in today's society opens new avenues of discovering the patterns of human mobility by means of analyzing cellular network data. Of particular interest is analyzing passively collected Network Events (NEs) due to their scalability...
Map matching is the problem of matching the recorded geographic coordinates to a road network. In this paper, we propose an algorithm focusing on online process of low sampling rate data which estimates the weight of the candidate road based on spatial analysis and topological constraints. The proposed algorithm divides the whole trajectory into several parts and performs map matching respectively,...
A major concern of the large-scale deployment of location based services (LBSs) is the safeguards of the user's location data collected by service providers, since person's location information may imply sensitive private information. Most existing techniques have addressed privacy protection mainly for snapshot queries. However, providing anonymity for continuous queries is important, since users'...
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