March 3, 2021
Faculty and Students,
You are cordially invited to my thesis defense.
Title: Object Detection and Sensor Data Processing for Off-Road Autonomous Vehicles
When: Tuesday, March 16th at 11:00 a.m.
Where: Webex (https://msstate.webex.com/meet/jeb234)
Candidate: Timothy Foster
Degree: Masters, Electrical and Computer Engineering
Dr. John Ball
(Major Professor )
Dr. Ali Gurbuz
Dr. Bo Tang
Autonomous vehicles require intelligent systems to perceive and navigate unstructured environments. The scope of this project is to improve and develop algorithms and methods to support autonomy in the off-road problem space. This work explores computer vision architectures to support real-time object detection. Furthermore, this project explores multimodal deep fusion and sensor processing for off-road object detection. The networks are compared to and based off of the SqueezeSeg architecture. The MAVS simulator was utilized for data collection and semantic ground truth. The results indicate improvements from the SqueezeSeg performance metrics.