Group project with Francisco Cervantes, Katherine Cheetham, Eric Cornforth, Thomas Sawyer, and Edmund SheahThis document contains the final results of Senior Design Project 18037: Vehicle Detection for Cyclist Safety. In the following sections, we present a deep neural network enabled vehicle detection system which can be run in real time on self-contained, portable computer hardware, which in turn can be attached to a bicycle. We outline the architecture of our system, and then provide technical details of both the software and mechanical design in a technical data package. Furthermore, we detail the procedure and results of the analyses and tests performed on the system. Lastly, we present our final budget and reflect on the lessons learn...
The main application of helmet detection is in traffic roads where accidents are more. Even though v...
Abstract Road accidents are now one of the leading causes of death in the United States. Motorcycle...
Today, there is a need to focus on the mobility revolution that is currently taking place. With the ...
The manner in which people use bicycles has changed very little since their invention in 1817. In th...
Cycling is an efficient mode of travel widely used for transport, recreation and sport all over the ...
Project Description: Bicycle detection has become a popular feature of high demand in cities and ag...
University Transportation Centers Program2020PDFTech ReportPourhomayoun, MohammadMineta Consortium f...
IndianapolisE-scooters are ubiquitous and their number keeps escalating, increasing their interactio...
This thesis focuses on the implementation and design of convolutional neural networks for image clas...
Cycling has always been considered a sustainable and healthy mode of transport. Moreover, during Cov...
Cycling is an increasingly popular mode of travel in cities owing to the great advantages that it of...
With the progress in intelligent transportation systems in smartcities, vision-based vehicle detecti...
General object-detection methods based on deep learning have received considerable attention in the ...
Object detection performed by Autonomous Vehicles (AV)s is a crucial operation that comes ahead of v...
Heavy goods vehicles are overrepresented in cyclist fatality statistics in the United Kingdom relat...
The main application of helmet detection is in traffic roads where accidents are more. Even though v...
Abstract Road accidents are now one of the leading causes of death in the United States. Motorcycle...
Today, there is a need to focus on the mobility revolution that is currently taking place. With the ...
The manner in which people use bicycles has changed very little since their invention in 1817. In th...
Cycling is an efficient mode of travel widely used for transport, recreation and sport all over the ...
Project Description: Bicycle detection has become a popular feature of high demand in cities and ag...
University Transportation Centers Program2020PDFTech ReportPourhomayoun, MohammadMineta Consortium f...
IndianapolisE-scooters are ubiquitous and their number keeps escalating, increasing their interactio...
This thesis focuses on the implementation and design of convolutional neural networks for image clas...
Cycling has always been considered a sustainable and healthy mode of transport. Moreover, during Cov...
Cycling is an increasingly popular mode of travel in cities owing to the great advantages that it of...
With the progress in intelligent transportation systems in smartcities, vision-based vehicle detecti...
General object-detection methods based on deep learning have received considerable attention in the ...
Object detection performed by Autonomous Vehicles (AV)s is a crucial operation that comes ahead of v...
Heavy goods vehicles are overrepresented in cyclist fatality statistics in the United Kingdom relat...
The main application of helmet detection is in traffic roads where accidents are more. Even though v...
Abstract Road accidents are now one of the leading causes of death in the United States. Motorcycle...
Today, there is a need to focus on the mobility revolution that is currently taking place. With the ...