Abstract: Embodiments herein relate to a method for handling light source impairment. The position of a user's eye(s) when the user is inside the vehicle is obtained. The position of a light source outside the vehicle and an intensity of light from the light source in relation to the position of the user's eye(s) is obtained. Then, it is determined whether the user's vision is impaired by the light source. The determining is done based on whether there is a line of sight between the light source and the user's eye(s), and based on the intensity of light at the user's eye(s). It is determined whether at least one safety measure should be performed by the vehicle based on whether the user's vision is impaired by the light source.

Abstract: A method and system for providing a drowsiness alert to a driver of a vehicle are described. A drowsiness estimate data set is compared to historical drowsiness data from multiple vehicles. The drowsiness estimate data set includes current drive context data, and traffic situation data indicative of a present traffic situation for the vehicle and the position of the vehicle. The previously collected drowsiness estimate data sets of the historical drowsiness data are each associated with a determined degree of drowsiness of the respective driver when the previous drowsiness estimate data sets were collected. The degree of drowsiness is determined by a drowsiness detection system in the respective vehicle. A drowsiness risk measure is subsequently determined and, based on the drowsiness risk measure and based on a current drive context for the vehicle, a drowsiness alert may be provided to the driver.

Abstract: Embodiments herein relate to a method for handling light source impairment. The position of a user's eye(s) when the user is inside the vehicle is obtained. The position of a light source outside the vehicle and an intensity of light from the light source in relation to the position of the user's eye(s) is obtained. Then, it is determined whether the user's vision is impaired by the light source. The determining is done based on whether there is a line of sight between the light source and the user's eye(s), and based on the intensity of light at the user's eye(s). It is determined whether at least one safety measure should be performed by the vehicle based on whether the user's vision is impaired by the light source.

Abstract: A method and system for providing a drowsiness alert to a driver of a vehicle are described. A drowsiness estimate data set is compared to historical drowsiness data from multiple vehicles. The drowsiness estimate data set includes current drive context data, and traffic situation data indicative of a present traffic situation for the vehicle and the position of the vehicle. The previously collected drowsiness estimate data sets of the historical drowsiness data are each associated with a determined degree of drowsiness of the respective driver when the previous drowsiness estimate data sets were collected. The degree of drowsiness is determined by a drowsiness detection system in the respective vehicle. A drowsiness risk measure is subsequently determined and, based on the drowsiness risk measure and based on a current drive context for the vehicle, a drowsiness alert may be provided to the driver.