Calculating Vehicle Speed and Integrating GPS Data for Real-Time Tracking

import time

previous_time = time.time()
previous_distance = None

def calculate_distance(bbox):
    # Custom function to calculate distance based on bbox size
    # This is a placeholder for the actual distance calculation logic
    return bbox[2] - bbox[0]

def calculate_speed(distance_initial, distance_final, time_elapsed):
    distance_change = distance_final - distance_initial
    speed_m_s = distance_change / time_elapsed
    speed_kmh = speed_m_s * 3.6
    return speed_kmh

# Placeholder for getting the vehicle's speed from GPS
def get_my_vehicle_speed():
    return 50  # Assume a constant speed for demonstration

while cap.isOpened():
    ret, frame = cap.read()
    if not ret:
        break

    results = model.predict(source=frame)
    bboxes = extract_bboxes(results)
    outputs = deepsort.update(bboxes)

    current_time = time.time()

    for output in outputs:
        bbox = output[:4]
        track_id = output[4]

        current_distance = calculate_distance(bbox)
        if previous_distance is not None:
            time_elapsed = current_time - previous_time
            relative_speed = calculate_speed(previous_distance, current_distance, time_elapsed)
            my_vehicle_speed = get_my_vehicle_speed()
            front_vehicle_speed = my_vehicle_speed + relative_speed
            print(f'Front Vehicle Speed: {front_vehicle_speed} km/h')

        previous_time = current_time
        previous_distance = current_distance

• Calibration: Calibrate your system to improve accuracy.

• Frame Rate: Ensure the video processing frame rate is high to minimize latency.

1. How do I calculate the speed of a vehicle? Speed is calculated by measuring the distance traveled over a period and then dividing this distance by the time taken.

2. How can I integrate GPS data into my system? You can use GPS data to get the speed of your vehicle and then calculate the relative speed of the vehicle in front by comparing positional changes over time.

3. What are the challenges in real-time speed calculation? The main challenges include ensuring low latency, accurate distance measurement, and handling varying frame rates and environmental conditions.

4. How do I enhance the accuracy of my system? Calibrating your system, ensuring high frame rates, and using precise distance measurement methods can significantly enhance accuracy.

• Basics of Speed Calculation: Physics Classroom

• Using GPS for Speed Measurement: GPS World

• Real-Time Video Processing: OpenCV Real-Time Video Processing