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Articles 1 - 7 of 7
Full-Text Articles in Automotive Engineering
Hand Motion Tracking System Using Inertial Measurement Units And Infrared Cameras, Nonnarit O-Larnnithipong
Hand Motion Tracking System Using Inertial Measurement Units And Infrared Cameras, Nonnarit O-Larnnithipong
FIU Electronic Theses and Dissertations
This dissertation presents a novel approach to develop a system for real-time tracking of the position and orientation of the human hand in three-dimensional space, using MEMS inertial measurement units (IMUs) and infrared cameras. This research focuses on the study and implementation of an algorithm to correct the gyroscope drift, which is a major problem in orientation tracking using commercial-grade IMUs. An algorithm to improve the orientation estimation is proposed. It consists of: 1.) Prediction of the bias offset error while the sensor is static, 2.) Estimation of a quaternion orientation from the unbiased angular velocity, 3.) Correction of the …
Arm Mke1xf Mcu Replatform, Nathan Hong, Derek Lung, Japsimran Singh, Bevin Tang
Arm Mke1xf Mcu Replatform, Nathan Hong, Derek Lung, Japsimran Singh, Bevin Tang
Computer Engineering
After Cal Poly Racing’s electrical team began to hit the technical limits of the ADC and other I/O features of the current 8-bit Atmel AT90 microcontroller unit, it became clear that an upgrade was due. This replatforming project takes the functionalities of the old, 8-bit architecture, and aims to provide a 32-bit version using the ARM MKE1xF MCU. With the idea of having a working PCB as a stretch goal, the scope of the library development was limited to enable base functionality. Thus, the only libraries developed were for the Timer, ADC, SPI, UART, and CAN. Additionally, this document discusses …
A Survey Of Security Attacks And Defenses In Vehicular Ad-Hoc Networks, Pierson Yieh
A Survey Of Security Attacks And Defenses In Vehicular Ad-Hoc Networks, Pierson Yieh
Computer Science and Software Engineering
No abstract provided.
Vehicle Pseudonym Association Attack Model, Pierson Yieh
Vehicle Pseudonym Association Attack Model, Pierson Yieh
Master's Theses
With recent advances in technology, Vehicular Ad-hoc Networks (VANETs) have grown in application. One of these areas of application is Vehicle Safety Communication (VSC) technology. VSC technology allows for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications that enhance vehicle safety and driving experience. However, these newly developing technologies bring with them a concern for the vehicular privacy of drivers. Vehicles already employ the use of pseudonyms, unique identifiers used with signal messages for a limited period of time, to prevent long term tracking. But can attackers still attack vehicular privacy even when vehicles employ a pseudonym change strategy? The major contribution …
Assessing The Competing Characteristics Of Privacy And Safety Within Vehicular Ad Hoc Networks, Jacob W. Connors
Assessing The Competing Characteristics Of Privacy And Safety Within Vehicular Ad Hoc Networks, Jacob W. Connors
Theses and Dissertations
The introduction of Vehicle-to-Vehicle (V2V) communication has the promise of decreasing vehicle collisions, congestion, and emissions. However, this technology places safety and privacy at odds; an increase of safety applications will likely result in the decrease of consumer privacy. The National Highway Traffic Safety Administration (NHTSA) has proposed the Security Credential Management System (SCMS) as the back end infrastructure for maintaining, distributing, and revoking vehicle certificates attached to every Basic Safety Message (BSM). This Public Key Infrastructure (PKI) scheme is designed around the philosophy of maintaining user privacy through the separation of functions to prevent any one subcomponent from identifying …
Training Neural Networks To Pilot Autonomous Vehicles: Scaled Self-Driving Car, Jason Zisheng Chang
Training Neural Networks To Pilot Autonomous Vehicles: Scaled Self-Driving Car, Jason Zisheng Chang
Senior Projects Spring 2018
This project explores the use of deep convolutional neural networks in autonomous cars. Successful implementation of autonomous vehicles has many societal benefits. One of the main benefits is its potential to significantly reduce traffic accidents. In the United States, the National Highway Traffic Safety Administration states that human error is at fault for 93% of automotive crashes. Robust driverless vehicles can prevent many of these collisions. The main challenge in developing autonomous vehicles today is how to create a system that is able to accurately perceive and process the world around it. In 2016, NVIDIA successfully trained a deep convolutional …
Vehicle-To-Barrier Communication During Real-World Vehicle Crash Tests, Samil Temel, Mehmet C. Vuran, Mohammad M.R. Lunar, Zhongyuan Zhao, Abdul Salam, Ronald K. Faller, Cody S. Stolle
Vehicle-To-Barrier Communication During Real-World Vehicle Crash Tests, Samil Temel, Mehmet C. Vuran, Mohammad M.R. Lunar, Zhongyuan Zhao, Abdul Salam, Ronald K. Faller, Cody S. Stolle
School of Computing: Faculty Publications
Vehicle-to-barrier (V2B) communication is expected to facilitate wireless interactions between vehicles and roadside barriers in next-generation intelligent transportation systems. V2B systems will help mitigate single-vehicle, run-off-road crashes, which account for more than 50% of roadside crash fatalities. In this work, the characteristics of the wireless channel prior to and during a crash are analyzed using orthogonal frequency division multiplexing (OFDM) techniques, which has been used in existing vehicular communication systems. More specifically, the performance of OFDM-based V2B links are measured in real-world crash tests for the first time. Three crash tests conducted at the Midwest Roadside Safety Facility, Lincoln, Nebraska, …