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Articles 1 - 5 of 5
Full-Text Articles in Navigation, Guidance, Control, and Dynamics
Aerodynamic Design And Analysis Of A Modified 2006 Mazda Miata, William N. Recher
Aerodynamic Design And Analysis Of A Modified 2006 Mazda Miata, William N. Recher
Honors College Theses
Aerodynamic forces developed by automobiles have destabilizing effects at high speed. These forces tend to skew toward a vehicle’s rear which can present safety concerns, especially for rear-wheel-drive automobiles like the Mazda Miata. To address oversteer and high-speed instability, a vehicle’s design can be tailored to bring about aerodynamic balance and improve traction. LiDAR was used to bring the physical automobile into the digital space. Then, a splitter and diffuser were added to reduce the magnitude of the destabilizing forces. Next, the size and shape of the rear-wing required to balance the vehicle was calculated using a combination of parameters …
Exploration Of Characteristic Curve In Fox Float 3 Shock Dampers To Expedite Shock Damp Tuning., Joshua R. Moore
Exploration Of Characteristic Curve In Fox Float 3 Shock Dampers To Expedite Shock Damp Tuning., Joshua R. Moore
Honors College Theses
The shock absorber is an integral part of a vehicle suspension system and has a strong influence on its performance, especially in the case of motorsports. It is important to study the force versus velocity relationship, commonly known as the characteristic curve of the shock absorber both during compression and rebound. Vendor-supplied characteristics often reflect the behavior of the shock absorber in a particular setting. However, during the installation, the settings inside the shock absorber are adjusted to increase the human comfort level and performance of the vehicle. This may change the characteristic curve of the shock. The available data …
Development And Evaluation Of Blind Spot Detection Safety System Based On 2d-Lidar Technology As An Optimization For Adas Systems, Timothy J. Sutton
Development And Evaluation Of Blind Spot Detection Safety System Based On 2d-Lidar Technology As An Optimization For Adas Systems, Timothy J. Sutton
Honors College Theses
Distracted driving poses a significant safety hazard and will only exacerbate as the number of modern-day distractions increases. To mitigate this problem, Advanced Driver Assistance Systems (ADAS) features, such as blind spot detection, have been pivotal for the safer operation of vehicles. Towards the same objective, the goal of this research is to utilize 2D LiDAR sensors to create a blind spot detection system that will detect objects and surfaces that are outside of the driver’s field of view. A comparative analysis was conducted by developing a 2D LiDAR-based system utilizing NVIDIA Jetson Orion Nano and Python alongside an ultrasonic-based …
Sensor Updates For Bigheaded Carp-Tracking Autonomous Boat, Jordan Kaufmann
Sensor Updates For Bigheaded Carp-Tracking Autonomous Boat, Jordan Kaufmann
Honors College Theses
Bigheaded carp are an invasive species that overpopulate and compete with the native species of Kentucky Lake as well as many other North American aquatic ecosystems. The movement patterns of Bigheaded carp are being studied nationwide by the United States Geological Survey and multiple universities. These studies ultimately seek to control their spread and reduce or reverse the ecosystem destabilization caused by this invasive species. Such studies are currently conducted manually on Kentucky Lake by graduate students affiliated with the Murray State University (MSU) Biology Department and Hancock Biological Station, and these manual studies are an arduous and time-consuming effort. …
Optimization Of A Simultaneous Localization And Mapping (Slam) System For An Autonomous Vehicle Using A 2-Dimensional Light Detection And Ranging Sensor (Lidar) By Sensor Fusion, Shaen Mehrzed
Honors College Theses
Fully autonomous vehicles must accurately estimate the extent of their environment as well as their relative location in their environment. A popular approach to organizing such information is creating a map of a given physical environment and defining a point in this map representing the vehicle’s location. Simultaneous Mapping and Localization (SLAM) is a computing algorithm that takes inputs from a Light Detection and Ranging (LiDAR) sensor to construct a map of the vehicle’s physical environment and determine its respective location in this map based on feature recognition simultaneously. Two fundamental requirements allow an accurate SLAM method: one being accurate …