US 12,345,533 B2
Estimation of accident intensity for vehicles
Carl Lindberg, Västra Frölunda (SE)
Assigned to Zenseact AB, Gothenburg (SE)
Filed by ZENSEACT AB, Gothenburg (SE)
Filed on Jun. 29, 2022, as Appl. No. 17/852,533.
Claims priority of application No. 21183230 (EP), filed on Jul. 1, 2021.
Prior Publication US 2023/0005372 A1, Jan. 5, 2023
Int. Cl. B60W 50/00 (2006.01); B60W 50/14 (2020.01); G01C 21/34 (2006.01); G01C 21/36 (2006.01); G08G 1/01 (2006.01); G08G 1/0967 (2006.01)
CPC G01C 21/3415 (2013.01) [B60W 50/0097 (2013.01); B60W 50/14 (2013.01); G01C 21/3691 (2013.01); G08G 1/0129 (2013.01); G08G 1/096725 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A method for alerting drivers and/or autonomous vehicles of high risk scenarios, the method comprising:
obtaining positional data of a vehicle, the positional data indicating a geographical position and a heading of the vehicle;
obtaining environmental data of the vehicle, the environmental data indicating a state of the surrounding environment of the vehicle;
determining, using a trained model, an accident intensity for an upcoming road portion for the vehicle, the trained model being configured to determine an accident intensity associated with the upcoming road portion based on the obtained environmental data and the obtained positional data;
wherein the accident intensity is an intensity in a Poisson sense, and wherein the trained model is formed based on accident data from an accident database comprising information about a plurality of critical scenarios at a time of each critical scenario and data indicative of frequencies of similar situations as the critical scenarios, wherein the data indicative of frequencies of similar situations defines a number of attempts associated with each critical scenario; and
responsive to the determined accident intensity exceeding a threshold, transmitting a signal indicating an approaching high risk scenario to a Human-Machine-Interface, HMI, of the vehicle and/or to a control system of the vehicle, wherein the signal indicating the approaching high risk scenario is transmitted to the control system of the vehicle to reduce a speed of the vehicle.