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Obstacle Avoidance Expert

Real-time obstacle avoidance is the key guarantee for safe drone flight. In this project, you will learn how to develop real-time obstacle avoidance systems.

  • Obstacle avoidance algorithm principles
  • Artificial Potential Field method
  • Vector Field Histogram (VFH)
  • Dynamic Window Approach (DWA)
ItemQuantityNotes
Drone with Distance Sensors1VL53L0X, TOF sensors
Computer1With VS Code + ESP-IDF environment
USB Cable1For programming
Indoor Environment1With obstacles placed

Step 1: Understand Obstacle Avoidance Systems

Section titled “Step 1: Understand Obstacle Avoidance Systems”

Obstacle avoidance systems detect surrounding obstacles through sensors, plan safe paths and control drones to avoid obstacles.

Common obstacle avoidance algorithms:

  • Artificial Potential Field method
  • Vector Field Histogram (VFH)
  • Dynamic Window Approach (DWA)

Install multiple distance sensors around the drone (front, back, left, right) for all-direction obstacle detection.

Step 3: Obstacle Avoidance Algorithm Implementation

Section titled “Step 3: Obstacle Avoidance Algorithm Implementation”

Select DWA (Dynamic Window Approach):

void obstacleAvoidance() {
// Read sensor data, detect obstacles
float dist_front = readDistanceSensor(FRONT);
float dist_left = readDistanceSensor(LEFT);
float dist_right = readDistanceSensor(RIGHT);
// Build obstacle list
Obstacle obstacle_list[10];
int obs_count = 0;
if (dist_front < 200) {
obstacle_list[obs_count].x = current_x + dist_front;
obstacle_list[obs_count].y = current_y;
obs_count++;
}
// Use DWA algorithm to plan safe velocity
float vx, vy, vz, yaw_rate;
dwaPlanner(&vx, &vy, &vz, &yaw_rate, obstacle_list, obs_count);
// Control drone to execute avoidance action
commanderSetVelocitySetpoint(vx, vy, vz, yaw_rate);
}
  1. Compile and flash the code
  2. Test in indoor environment with obstacles placed
  • Optimize sensor reading frequency
  • Simplify obstacle avoidance algorithm
  • Adjust DWA parameters
  • Increase number of sensors

Congratulations! You have implemented real-time obstacle avoidance system, which is an important guarantee for safe drone flight!

In the next project, you will learn how to use OpenCV library for real-time color target tracking.