Script Auto Race Inf M Verified: Moto Trackday Project

print(f"Auto-detected len(corner_meters) corners at meters: corner_meters") return corner_meters detect_corners("my_lap.gpx") To verify distance, compare GPS against wheel speed sensor (WSS) pulses:

import gpxpy import numpy as np from scipy.signal import find_peaks def detect_corners(gpx_file): with open(gpx_file, 'r') as f: gpx = gpxpy.parse(f) moto trackday project script auto race inf m verified

Solution: Adjust brake marker. Next session, you gain 0.4 seconds. You’ll ride by – and drop seconds off your lap time

# Heading change rate (yaw rate proxy) yaw_rate = np.abs(np.diff(headings)) peaks, _ = find_peaks(yaw_rate, height=15) # >15 deg change = corner Let’s verify every meter, together

pip install gpxpy geopy numpy scipy matplotlib pandas Here’s a simplified script skeleton that detects corner entries based on yaw rate (GPS-derived heading change):

Within one season, you’ll stop riding by feel alone. You’ll ride by – and drop seconds off your lap time. Have you built a trackday script? Share your GitHub or RaceStudio template in the comments. Let’s verify every meter, together.