A method characterized in that it comprises the following: Detection of a collision event at a collision device (1001, 1002, 1808, 2201, 2202) with at least one processor (301, 302, 1702, 1703, 2002, 2304); Extracting multimodal features (306) from sensor data generated by multiple sensing modalities of the collision device (1001, 1002, 1808, 2201, 2202) with at least one processor (301, 302, 1702, 1703, 2002, 2304); Computing multiple collision decisions with the at least one processor (301, 302, 1702, 1703, 2002, 2304), based on multiple
machine learning models (307) applied to the multimodal features (306); and Determine that a severe vehicle collision has occurred, using at least one processor (301, 302, 1702, 1703, 2002, 2304) incorporating the collision device (1001, 1002, 1808, 2201, 2202) based on the multiple collision decisions and a severity model (2204).