1. Detecting the Instability of Oncoming Vehicles Using Optical Flow and Map-Based Context Open Access Author: Monaco, Christopher D Title: Detecting the Instability of Oncoming Vehicles Using Optical Flow and Map-Based Context Graduate Program: Mechanical Engineering Keywords: optical flowvisual odometryinstabilityvehiclesmapstereo cameravehicle detectionunscented kalman filternavigationadvanced driver assistance systemsstereo image processingkalman filtersroad vehiclesoptical flow vectorsperceptiongps-deniedautomotive safetyvehicle instabilityvehicle state estimationegomotion estimationego-vehiclecollision avoidancestereo vision File: Download Detecting_the_Instability_of_Oncoming_Vehicles_Using_Optical_Flow_and_Map-Based_Context.pdf Committee Members: Sean N Brennan, Thesis Advisor/Co-AdvisorKurt A Hacker, Committee MemberKurt A Hacker, Committee Member
2. Machine learning navigation solutions using unscented filters Open Access Author: Struble, Nathan Title: Machine learning navigation solutions using unscented filters Graduate Program: Aerospace Engineering Keywords: machine learningkalman filteringvisual odometry File: Download Thesis_nate-3.pdf Committee Members: Jacob Langelaan, Professor in Charge/Director of Graduate StudiesSimon W Miller, Thesis Advisor/Co-AdvisorDaning Huang, Committee MemberJay Dean Martin, Committee Member
