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Proposer
Chee Een Yap
Title
Smart Autonomous Delivery Vehicle
Goal
The goal of this research is to design a smart delivery vehicle with obstacle detection and avoidance system based on IOT and utilizing sensors data (e.g., LiDAR, cameras, ultrasonic sensors) for decision-making.
Description
Autonomous delivery vehicles are increasingly used in urban logistics, but ensuring their safe operation in dynamic environments remains a significant challenge. IoT technology can enhance real-time data transmission and sensor fusion, allowing for quicker and more accurate environmental perception, as well as improved computer vision for obstacle recognition.
Resources
Designing a multi-sensor data acquisition and real-time transmission system, and path planning algorithms to achieve obstacle detection and avoidance.
Background
Microcontroller programming, Arduino, Computer Vision
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
1
Supervisor
Chee Een Yap
Keywords
iot, sensor, lidar, ultrasonic sensor, camera, obstacle detection
Degrees
Bachelor of Science in Computing Science
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