Autonomous Navigation and Obstacle Avoidance

Overview

This is the ultimate challenge! You need to integrate all the technologies learned to complete autonomous navigation in an unknown indoor environment.

What You’ll Learn

• Complete system integration
• Real-time decision making
• Autonomous navigation
• System debugging

Materials Needed

Challenge Requirements

Task Description

The drone needs to:

1. Take off from starting point
2. Autonomously navigate in unknown indoor environment
3. Avoid obstacles
4. Search for and recognize target objects
5. Return to starting point
6. Land safely

Scoring Criteria

Implementation Suggestions

System Architecture

void autonomous_flight(void) {
    while (1) {
        // 1. Get sensor data
        get_sensor_data();
        
        // 2. Update global path planning
        update_global_path();
        
        // 3. Execute local obstacle avoidance
        perform_local_avoidance();
        
        // 4. Calculate control commands
        calculate_control_commands();
        
        // 5. Send commands to motors
        send_motor_commands();
        
        // 6. Send status data back to ground station
        send_telemetry();
        
        // 7. Check if goal reached
        if (reached_goal()) {
            land();
            break;
        }
    }
}

Key Technologies

1. Visual Navigation: Use optical flow for positioning
2. Obstacle Avoidance: Use DWA algorithm for real-time obstacle avoidance
3. Path Planning: Use A* algorithm for global path planning
4. Target Recognition: Use TinyYOLOv3 for object detection
5. Sensor Fusion: Use EKF to fuse IMU, barometer and optical flow data

Debugging Suggestions

1. Test each module separately to ensure they work properly
2. Gradually integrate modules, testing after each integration
3. Use serial debug assistant to observe data in real-time
4. Record flight logs for post-analysis

Safety Precautions

1. Test in safe indoor environment
2. Keep away from people and fragile items
3. Prepare emergency stop measures
4. Wear protective equipment

Achievement

Congratulations! You have completed all advanced projects and become a true drone development expert!

Summary

Through this series of projects, you have learned:

• Drone hardware assembly and debugging
• Basic flight control principles
• Sensor data reading and fusion
• Path planning and obstacle avoidance
• Computer vision and AI recognition
• Multi-drone communication and formation
• Complete autonomous navigation system

You are now ready to develop more complex drone applications. Keep exploring and innovating!

Next Steps

• Try developing your own drone applications
• Participate in drone competitions
• Join the drone developer community
• Continue learning more advanced technologies