Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- 3D Computer Vision (1)
- Artificial Neural Network (1)
- Classification (1)
- Control (1)
- Correction Coefficients (1)
-
- Diesel Particulate Filter Differential Pressure (1)
- EGR compensation (1)
- EGR flow measurement (1)
- Emission measurement (1)
- Engine out Flow measurement (1)
- Exhaust Flow Estimation (1)
- Feedback (1)
- Flow measurement (1)
- LQR (1)
- Laminar flow method (1)
- MRAC (1)
- Multi resolution (1)
- Point Cloud (1)
- Raw Exhaust Flow (1)
- RoAdNet (1)
- Speed density method (1)
- Tractor (1)
- Trailer (1)
- Unsupervised Deep Learning (1)
- V2V (1)
- V2X (1)
- Vehicular communication (1)
Articles 1 - 4 of 4
Full-Text Articles in Automotive Engineering
Comparison Of Lqr And Lqr-Mrac For Linear Tractor-Trailer Model, Kevin Richard Gasik
Comparison Of Lqr And Lqr-Mrac For Linear Tractor-Trailer Model, Kevin Richard Gasik
Master's Theses
The United States trucking industry is immense. Employing over three million drivers and traveling to every city in the country. Semi-Trucks travel millions of miles each week and encompass roads that civilians travel on. These vehicles should be safe and allow efficient travel for all. Autonomous vehicles have been discussed in controls for many decades. Now fleets of autonomous vehicles are beginning their integration into society. The ability to create an autonomous system requires domain and system specific knowledge. Approaches to implement a fully autonomous vehicle have been developed using different techniques in control systems such as Kalman Filters, Neural …
Unsupervised Feature Learning For Point Cloud By Contrasting And Clustering With Graph Convolutional Neural Network, Ling Zhang
Dissertations and Theses
Recently, deep graph neural networks (GNNs) have attracted significant attention for point cloud understanding tasks, including classification, segmentation, and detection. However, the training of such deep networks still requires a large amount of annotated data, which is both expensive and time-consuming. To alleviate the cost of collecting and annotating large-scale point cloud datasets, we propose an unsupervised learning approach to learn features from unlabeled point cloud ”3D object” dataset by using part contrasting and object clustering with GNNs. In the contrast learning step, all the samples in the 3D object dataset are cut into two parts and put into a …
Roadnet: Robust Adaptive Network For Information Diffusion In Vanet, Priyashraba Misra
Roadnet: Robust Adaptive Network For Information Diffusion In Vanet, Priyashraba Misra
Graduate Theses, Dissertations, and Problem Reports
The automotive industry has changed more in the last one decade than ever before. Rapid advancements in autonomous driving have opened up opportunities for CAVs (Connected and Automated Vehicles). Vehicles today rely on a sensor-suite to map the surrounding and use that information for safety and navigation. The sensor's view is limited to its line of sight and this drawback can be tapered off by using Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I), generally referred to as Vehicle to Everything (V2X) communication. In this thesis, we specifically focus on utilizing V2V communication using on-board Dedicated Short Range Communication …
Investigation And Development Of Exhaust Flow Rate Estimation Methodologies For Heavy-Duty Vehicles, Chakradhar Reddy Vardhireddy
Investigation And Development Of Exhaust Flow Rate Estimation Methodologies For Heavy-Duty Vehicles, Chakradhar Reddy Vardhireddy
Graduate Theses, Dissertations, and Problem Reports
Exhaust gas flow rate from a vehicle tailpipe has a great influence on emission mass rate calculations, as the emission fractions of individual gases in the exhaust are calculated by using the measured exhaust flow rate. The development of high-end sensor technologies and emission pollutant measurement instruments, which can give instantaneous values of volume concentration of pollutants flowing out of the engine are gaining importance because of their ease of operation. The volume concentrations measured can then be used with the instantaneous exhaust flow rate values to obtain mass flow rates of pollutants.
With the recent promulgation of real world …