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Animated Driven Car. undefined. Robotbil project.

Introduction. Welcome to our presentation on Robotbil, an innovative project focused on the development of an autonomous robot with advanced obstacle avoidance and auto-parking capabilities. This project, undertaken as part of our embedded systems course, aims to explore the integration of various sensors, microcontrollers, and intelligent algorithms to create a robot that can navigate complex environments safely and efficiently..

Objectives. Walk. Primary Objectives: Develop an autonomous car capable of obstacle avoidance. Implement auto-parking functionality. Secondary Objectives: Explore the integration of various sensors and microcontrollers. Implement intelligent algorithms for navigation..

System Design. Flowchart. Architecture Overview: Functional Blocks: Block diagram of the system showing sensor inputs, microcontroller, and actuators. Sensor Module Control Unit (Arduino) Actuation System.

Components Used. Microcontroller: Arduino Uno Sensors: Ultrasonic sensors for obstacle detection. Infrared sensors for line tracking. Actuators: Servo motors for steering. DC motors for driving. Others: Battery pack Chassis and wheels.

Sensor Integration. Ultrasonic Sensors: Placement and purpose for obstacle avoidance. Infrared Sensors: Usage in line tracking and navigation. Wiring Diagram: Schematic showing connections between sensors and Arduino..

Software Implementation. Programming Environment: Arduino IDE Key Algorithms: Obstacle detection and avoidance logic. Auto-parking algorithm. Code Snippets: Brief examples of crucial parts of the code..

Testing and Calibration. Testing Phases: Initial setup and individual component testing. Integration testing of the whole system. Calibration: Fine-tuning sensor sensitivity and motor response..

Results. Performance Metrics: Accuracy of obstacle avoidance. Efficiency and success rate of auto-parking..

Results. Let’s watch our autonomous car in action as it successfully navigates obstacles and demonstrates auto-parking functionality. This video highlights the integration of various sensors, microcontrollers, and algorithms that make our project a success..

Challenges and Solutions. Challenges Faced: Sensor noise and inaccuracies. Complexities in algorithm implementation. Solutions Implemented: Software filtering techniques. Iterative testing and code optimization..

Conclusion and Future Work. Project Summary: Recap of what was achieved: Successfully developed an autonomous car capable of obstacle avoidance. Implemented auto-parking functionality. Integrated various sensors and microcontrollers. Developed and tested intelligent navigation algorithms. Future Improvements: Enhancements in sensor technology. Implementation of more advanced algorithms (e.g., machine learning). Potential Applications: Expansion to real-world autonomous vehicle systems..