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Navigating the Future Advancing Autonomous Vehicles through Robust Target Recognition and Real-Time Avoidance

The problem being tackled by this thesis is a very important one and very relevant to our days and times: it is about making improved target recognition and enhanced real-time response skills in AVs under simulated conditions. Our plan is to put some enhanced sensory capabilities into these vehicles...

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Main Author: Hussein, Mohammed Ahmed Mohammed
Format: Thesis
Published: AUC Knowledge Fountain 2025
Subjects:
Autonomous Vehicles (AVs) - Object Recognition - YOLOv7 - CARLA Simulator- Object Avoidance - Sensor Fusion - Simulation Environments - Machine Learning - Object Detection Algorithms - Safety and Reliability in AVs
Navigation, Guidance, Control, and Dynamics
Robotics
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