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Animated Driven Car. Robotbil project undefined. [Audio] Robotbil project.

[Audio] 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..

[Audio] Objectives 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..

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

[Audio] 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.

[Audio] 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..

[Audio] 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..

[Audio] 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..

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

[Audio] 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..

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

[Audio] 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..