Animated Driven Car. undefined. Robotbil project. 

Scene 1

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.. 

Scene 2

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.. 

Scene 3

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. 

Scene 4

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. 

Scene 5

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.. 

Scene 6

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.. 

Scene 7

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.. 

Scene 8

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.. 

Scene 9

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.. 

Scene 10

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.. 

Scene 11

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.. 

Scene 12

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.

Presentation2222222222222222222222