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As defined by the Society of Automotive Engineers (SAE), drivers are required to resume control from an automated driving system (ADS) in automated Level 2 and 3 driving when requested by the automated system. For example, the driver must resume manual driving control when the functional limitations of the ADS are approaching or have reached. In addition, he or she may also resume manual driving control...
The primary goal of this paper is to investigate what could have made successful Google's OpenSpot, a crowdsensing based parking assistance application cancelled in 2012. For this analysis we have developed UPark, a simulation environment capable of simulating large numbers of vehicles, which look for optimal parking spots in busy urban environments and whose drivers might inform others when they...
Driving behaviour prediction is a challenging problem due to the nonlinearity of human behaviour. Linear and nonlinear techniques have been used to solve this problem, and they provide good results presented in the performance of the current autonomous cars. However, they lack the ability to adapt to abruptness that happens because of the human factor. In this paper, we introduce a method to extract...
This paper proposes a new method to analyze driver behavior. Analysis of the behavior is done through the observation of the time-evolution of parameters of simple driver models. The behavior analysis is decomposed in two steps. First the driver model have to be selected or designed to represent the average behavior of a large sample of drivers. Then personal driver's behavior evolution can be analyzed...
This paper investigates feature selection to discard irrelevant features for dimensionality reduction and improving situation recognition process. A situation illustrating the internal structure of a system state and its related environment is based on a large set of characteristics (features). Real-time situation recognition is still a challenge because of dealing with incremental knowledge as well...
Advanced driver assistance systems are required to detect latent hazards posed by surrounding vehicles and generate an appropriate response to enhance safety. Lane changes constitute potentially risky maneuvers, as drivers involved encounter latent hazards due to surrounding vehicles. A careful study of lane change behavior is therefore essential in identifying potential abnormalities that may lead...
In the development of advanced driver-assist systems (ADAS) for lane-keeping, one important design objective is to appropriately share the steering control with the driver. Hence, the steering behavior of the driver must be well known beforehand. This paper adopts the well-known two-point visual driver model to characterize the steering behavior of the driver, and conducts a series of field tests...
In this paper, we proposed a novel algorithm based on fuzzy model using both integrated HVI data (face and bio-signal) and in-vehicle data (turn signal etc.) in order to detect drowsiness and distracted driving, nonfulfillment of safety distance, and lane departure warning. Also, the proposed algorithm was implementation to the integrated ECU. From experiment results, our proposed algorithm will be...
This paper proposes a drowsiness-fatigue-detection (DFD) system for improving road safety, which consists of a wearable smart glasses, an in-vehicle infotainment system (a vehicular telematics device), an automotive diagnostic bridge, and a cloud-based platform, etc. The proposed DFD system can real-time detect driver's state for drowsiness or fatigue. When detecting drowsiness or fatigue situation...
Singapore has one of the busiest ports in the world and a vast maritime industry. This requires workforce skilled in latest marine technology to operate machinery, conduct surveillance and monitor the conditions of the water bodies. Although it is lucrative to work in the marine industry, the perception of harsh working conditions often hinders new graduates to pursue this path. Furthermore, many...
For the problem of sideslip control of air cushion vehicle, the sideslip controller of air cushion vehicle based on nonsingular fast terminal slide mode (NFTSM) with the feature of good robustness and fast convergent rate is designed. Also sideslip changer which can supervise the status of system is designed. Sideslip controller can coordinate with heading controller to achieve course control of ACV...
Understanding vehicle mobility is essential for devising successful protocols for vehicular communications. Vehicles move at varying speeds on roads whose complexities range from plain highway lanes to urban boulevards with intersections/circles, traffic lights and various points of interest on them. This mobility pattern combined with vehicle density fluctuations depending on location and time makes...
Vehicle to Vehicle communication is comes under ehicular ad-hoc network (VANET). VANET uses the concept of mobile ad-hoc network. VANET gives flexibility to communicate between high speeds vehicles and create a network. VANET classification is done in three different category such as Vehicle to Infrastructure (V2I), Vehicle to Vehicle (V2V) and Hybrid network which is a combination of V2V and V2I...
Communication without failure is the fruitful result of advanced technology which can be achieved by enabling the design and implementation of several networks. Vehicular Ad-hoc Networks (VANETs) demands reliable communication. To facilitate the reliable communication, in this work, we present an Agent based Dynamic Clustering for Hybrid VANET (ADCHV). Dynamic clustering is the technique in which,...
In this paper, the driving cycle for electric cars in Beijing is investigated. Firstly a reasonable experimental scheme is made, in which several electric cars are selected and a new type of data collection transmission and management system based on GPRS communication is used. Then the obtained data is preprocessed and divided into mi-crotrips, and many characteristic parameters are selected. Finally,...
In this paper, we develop a novel method for vehicle classification using color images from surveillance videos. Proposed approach utilizes deformable part based (DPM) object detectors to localize different parts of the vehicle such as license plates and headlights. Next, we extract color features around the detected regions to infer the color of the vehicle. Color descriptors are used to detect the...
We consider the problem of energy-efficient cluster management in heterogeneous vehicular networks. In certain vehicular networking applications such as collision avoidance, multiple wireless technologies like Dedicated Short-Range Communication (DSRC) and LTE are combined to make use of both of their advantages. Thus, an optimum cluster management can be used to reduce the power consumption of Inter-Vehicle...
Hybrid vehicular networks (HVNs) are foreseen to provision effective solutions in terms of broadcast services, increased capacity and expanding coverage. Cooperative Awareness Messages (CAMs) are one of the standard means of exchanging information among connected vehicles and smart road infrastructures. Timely dissemination of CAMs is a non-trivial challenge, particularly, in congested areas. This...
Despite impressive developments in autonomous driving technology, little work has been devoted to improving the mobility intelligence of self-driving vehicles. Intelligent transport mobility, where cars autonomously or collaborative take mobility decisions, will be of major importance for future transportation systems. Through a large-scale data analysis, we empirically evaluate the patterns of high...
The automotive industry is under a major change and new vehicles are being enriched by the recent advances in communication. Not only business plans are changing due to connected and urbanized lifestyle, but also transportation is becoming more intelligent with smart roads that connect smart cars. Technology coined as the vehicular ad-hoc network (VANET) is harmonizing with Intelligent Transportation...
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