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 14 of 14 for “"vehicle classification"”.
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A two-point vehicle classification system
The counting and classification of vehicles is an important part of transportation engineering. In the past twenty years many automated systems have been developed to accomplish that labor-intensive task. Unfortunately most of those systems are characterized by inaccurate detection systems and/or …
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Vehicle Classification Framework: Online Classification with Tracking
… In case of traffic video surveillance, vehicle detection and classification is important as it can help in traffic control and gathering of traffic statistics that can be used in intelligent transportation systems. Vehicle classification poses a difficult problem as vehicles have high …
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A vehicle classification algorithm based on telematics data
… thesis, I develop an algorithm to identify the vehicle model from telematics data. By extracting the features from the accelerometer and GPS data, we obtain the classification features, which then goes through a multiclass random forest classifier. We apply this results into problems of driver …
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Vehicle classification profiles for interstates and non-interstates in West Virginia to be used for MOBILE6 modeling
… estimating emissions of air pollutants by motor vehicles. This model strongly encourages development of local data as input requirements in order to improve the quality of the modeling. The purpose of this study was to develop methodologies and appropriate factors or truck distribution profiles …
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Vehicle Axle Detection and Spacing Calibration Using MEMS Accelerometer
Vehicle classification data especially trucks has an important role in both pavement maintenance and highway planning strategy. An advanced microelectromechanical system (MEMS) accelerometer for vehicle classification based on axle count and spacing was designed, tested, and applied to the …
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Condition Assessment of Civil Infrastructure and Materials Using Deep Learning
… thermography for asphalt pavement crack severity classification. This work focused on longitudinal or transverse cracking. This work first built a dataset with four severity levels (no, low-severity, medium-severity, and high-severity) and three image types (visible, infrared, and fusion). Then …
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Road vehicle recognition and classification using magnetic field measurement
This dissertation presents a road vehicle detection approach for intelligent transportation systems. This approach uses a roadside-installed, low-cost magnetic sensor and associated data collection system. The system measures magnetic field changes to count, detect, and classify passing vehicles …
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Vehicle Engine Classification Using of Laser Vibrometry Feature Extraction
… voice acquisition. However, using LDV as a vehicle surveillance device has not been feasible due to the lack of systematic investigations on its behavioral properties. In this thesis, the LDV data from different vehicles are examined and features are extracted. A tone-pitch indexing (TPI) …
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Self-Powered Intelligent Traffic Monitoring Using IR Lidar and Camera
… be obtained from the presented approach includes vehicle counts, speed estimation and vehicle classification based on size. Two categories of sensors are used including IR Lidar and IR camera. With the two sensors, three detection techniques are used: Time of Flight (ToF) based, vision based and …
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Performance analysis and algorithm enhancement of feature-aided-tracker (FAT) simulation software using 1-D high-range-resolution (HRR) radar signature profiles
… in track-to-report data association through classification-aided and signature-aided tracking (CAT and SAT) algorithms. Profiles were obtained from the DARPA-sponsored Moving Target Feature Phenomenology (MTFP) program. Performance Analysis of this simulation tool reinforced the hypothesis …
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Acies-OS: a twin-assisted systems architecture for edge intelligence
… and evaluated using a multi-modal, multi-node vehicle classification testbed that has supported numerous research efforts and produced the largest publicly available dataset of its kind. Finally, the dissertation outlines a design for extending Acies-OS toward agentic edge intelligence, …
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Application of Deep Learning in Intelligent Transportation Systems
… and the permanent increase in the number of vehicles engender several issues in transportation systems, which in turn call for an intelligent and cost-effective approach to resolve the problems in an efficient manner. A cost-effective approach for improving and optimizing …
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DESIGN SPACE EXPLORATION FOR SIGNAL PROCESSING SYSTEMS USING LIGHTWEIGHT DATAFLOW GRAPHS
… and a deep neural network (DNN) for vehicle classification.
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Enabling safe, smart, and sustainable Transportation Cyber-Physical Systems with Artificial Intelligence
… urban environments. Concurrently, the rise in vehicle automation—from the basic SAE Level 1 features like adaptive cruise control (ACC) to the advanced SAE Level 5 fully automated vehicles devoid of human intervention—is reshaping the transportation sphere. However, challenges persist. While …