View Proposal

Proposer
Esraa Khatab
Title
All-weather Vision Systems for Autonomous Vehicles
Goal
Develop a robust vision-based object detection system for Autonomous Vehicles (AVs) to operate reliably under diverse weather conditions, such as rain, fog, and snow.
Description
Adverse weather conditions cause significant challenges to autonomous vehicles by reducing the effectiveness of their vision systems. This project aims to design and implement a vision system specifically optimized for all-weather performance.
Resources
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
0
Supervisor
Esraa Khatab
Keywords
autonomous vehicles, computer vision, object detection, real-time performance
Degrees
Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Data Science
Master of Science in Software Engineering
Bachelor of Science in Computing Science
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