Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 16 of 16 for “"Intelligent vehicle"”.
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Intelligent vehicle motion control
… directional stability controller. A non-linear vehicle handling model was developed for this study using the Mattab and Simulink tools. This consists of a 4 degree of freedom (d. o. f) lumped-parameter model that includes longitudinal, lateral, yaw and roll motions with quasi-static longitudinal …
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Intelligent Navigation of Autonomous Vehicles in an Automated Highway System: Learning Methods and Interacting Vehicles Approach
… evolve from the present highway system to an intelligent vehicle/highway system that will incorporate communication, vehicle control and traffic management techniques to provide safe, fast and more efficient surface transportation. A key factor in AHS deployment is intelligent vehicle control. …
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A real-time 256 x 256 pixel parallel image processing system by Zubair Aman Talib.
… system as used in a machine vision based intelligent vehicle control application. Utilizing a processor-per-pixel scheme, the PPIP integrates 64 x 64 Processing Elements (PEs) on a single chip. Multiple chips can be arrayed to process larger pixel images. Previous work had been done to …
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Synthesizing Vehicle Cornering Modes for Energy Consumption Analysis
Automotive vehicle manufacturers have been facing increased pressures from legislative bodies and consumers to reduce the fuel consumption and harmful emissions of their newly produced vehicles as a result of new research showing the detrimental effects these emissions have on the environment. …
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Haptic Interface for Non-Visual Steering
… a novel haptic interface that relies on an intelligent vehicle positioning system to indicate when, in which direction and how far to steer, as to facilitate steering without any visual feedback. Our interface may improve driving safety when a driver is temporarily blinded, for example, due …
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Realtime Vehicle Route Optimisation via DQN for Sustainable and Resilient Urban Transportation Network
… However, it is still a challenging task for the vehicles to interact with the complex city environment in a real time manner. In this thesis, we propose a deep reinforcement learning (DRL) method to build a real-time intelligent vehicle navigation system for sustainable and resilient urban …
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Predicate Calculus for Perception-led Automata
… research introduces the notion of Artificial Intelligent Agency, denoting the application of Artificial General Intelligence. The problem being handled by mathematics and logic, and only thereafter semantics, is Self-Supervised Machine Learning (SSML) towards Intuitive Vehicle Health …
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Ramp control strategies and geometric design implications of high-speed automated transportation systems
… and merging which is an important aspect of Intelligent Vehicle Highway Systems (VHS) Technology. An existing traffic flow model is utilized to generate a non-overtaking, continuous traffic stream with automatic acceleration/ deceleration characteristics of the smart cars to fulfill the needs …
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A dynamic traffic simulation/assignment model in the context of Advanced Driver Information Systems
… generated the need for the development of an Intelligent Vehicle Highway System (IVHS) program that is capable of making significant improvements in mobility, highway safety, and productivity on highways and urban streets. The success of such real time control system highly depends on the new …
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A Data Fusion Approach to Automated Decision Making in Intelligent Vehicles
The goal of an intelligent transportation system is to increase safety, convenience and efficiency in driving. Besides these obvious advantages, the integration of intelligent features and autonomous functionalities on vehicles will lead to major economic benefits from reduced fuel consumption to …
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A delayed response policy for autonomous intersection management
… Challenge in 2007 showed that fully autonomous vehicles, driven by computers without human intervention on public roads, are technologically feasible with current intelligent vehicle technology [6]. Some researchers predict that within 5-20 years there will be autonomous vehicles for sale on the …
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Development and evaluation of traffic prediction systems
… Management Systems (ATMS), a component of Intelligent Vehicle Highway Systems (IVHS). Traffic diversion utilizes available capacity in the urban network during a congestion-causing event. If an alternative route selected for diversion is not congested at the current time, a certain part of …
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Characterizing Human Driving Behavior Through an Analysis of Naturalistic Driving Data
Reducing the number of motor vehicle crashes is one of the major challenges of our times. Current strategies to reduce crash rates can be divided into two groups: identifying risky driving behavior prior to crashes to proactively reduce risk and automating some or all human driving tasks using …
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Vehicle-pedestrian interaction using naturalistic driving video through tractography of relative positions and pedestrian pose estimation
… that will allow a better understanding of the vehicle-pedestrian dynamic relationship, and which can predict pedestrian future movements. Our research analyzed videos from the Transportation Active Safety Institute (TASI) 110-Car naturalistic driving dataset to extract two dynamic pedestrian …
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Localization and Mapping for Autonomous Driving: Fault Detection and Reliability Analysis
… issues associated with a highly automated vehicle (HAV) is how to increase the safety level. A key requirement to ensure the safety of automated driving is the ability of reliable localization and navigation, with which intelligent vehicle/robot systems could successfully make reliable …
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Visual Clutter Study for Pedestrian Using Large Scale Naturalistic Driving Data
<p>Some of the pedestrian crashes are due to driver’s late or difficult perception of pedestrian’s appearance. Recognition of pedestrians during driving is a complex cognitive activity. Visual clutter analysis can be used to study the factors that affect human visual search efficiency and help …