""" High Acceleration Detection — Automatum Data Roundabout Dataset Detects vehicles exceeding a given acceleration threshold. Usage: python 03_high_acceleration.py [threshold_m_s2] Example: python 03_high_acceleration.py ../Roundabout-St2231-IngolstadtVOC_e63d-e63db143-1e40-4945-8866-464572ebf75d 3.0 """ import sys import os import numpy as np from openautomatumdronedata.dataset import droneDataset def detect_high_accelerations(dataset_path, acc_threshold=3.0): print(f"Loading dataset from: {dataset_path}") dataset = droneDataset(dataset_path) dynWorld = dataset.dynWorld print(f"Searching for accelerations > {acc_threshold} m/s^2...") high_accel_vehicles = [] for dynObj in dynWorld.dynamicObjects.values(): length = min(len(dynObj.ax_vec), len(dynObj.ay_vec)) if length == 0: continue ax = np.array(dynObj.ax_vec[:length]) ay = np.array(dynObj.ay_vec[:length]) total_accel = np.sqrt(ax**2 + ay**2) valid_accel = total_accel[~np.isnan(total_accel)] if len(valid_accel) > 0: max_accel = np.max(valid_accel) if max_accel > acc_threshold: high_accel_vehicles.append({ "uuid": dynObj.UUID, "type": dynObj.type, "max_accel": max_accel, }) if not high_accel_vehicles: print(f"No vehicles with acceleration > {acc_threshold} m/s^2 found.") return sorted_vehicles = sorted(high_accel_vehicles, key=lambda x: x["max_accel"], reverse=True) print(f"\n--- {len(sorted_vehicles)} vehicles with notable acceleration ---") for item in sorted_vehicles: print(f"Vehicle {item['uuid']} ({item['type']}): max {item['max_accel']:.2f} m/s^2") if __name__ == "__main__": if len(sys.argv) < 2: print("Usage: python 03_high_acceleration.py [threshold]") else: threshold = float(sys.argv[2]) if len(sys.argv) >= 3 else 3.0 detect_high_accelerations(sys.argv[1], threshold)