Device and method for improving assistance systems for lateral vehicle movements

A method for improving assistance systems for lateral vehicle movements during at least two-lane turning maneuvers and turning maneuvers in which an adjacent lane ends before turning of an ego vehicle, the method comprising:

• successively or simultaneously:
• determining a future turning maneuver of the ego vehicle,
• detecting information about lane markings and a number of available lanes in a surrounding area in front of and next to the ego vehicle, and
• determining whether at least one further road user is in a relevant lane next to or behind the lane of the ego vehicle, and
• upon determining that at least one further road user is in the relevant lane next to or behind the lane of the ego vehicle, a future driving task of the road user is determined from the information about the lane markings and the number of available lanes, and upon determining that the ego vehicle and the road user are in different lanes of an at least two-lane turning lane, or that the road user leaves a lane of the road user before the turning maneuver of the ego vehicle, it is determined that there is no probability of a collision, wherein:
• a learning algorithm is used in order to improve classifiers for determining the probability of the collision,
• in training of the learning algorithm, chronologically continuous recordings of driving behavior of the ego vehicle, as well as surrounding area information, are input to a first classifier,
• in training of the learning algorithm, the chronologically continuous recordings of driving behavior of the ego vehicle and chronologically continuous recordings of driving behavior of further vehicles, as well as the surrounding area information, are input to a second classifier,
• an evaluation is made after completion of the turning maneuver of the ego vehicle,
• the first classifier classifies the driving behavior of the ego vehicle, and
• the second classifier classifies the driving behavior of the road user upon a determination by the first classifier that a lateral movement of the ego vehicle is present.

A computer program product comprising a non-transitory computer readable medium having stored thereon program code which, when executed on a processor, carries out the acts of:

• successively or simultaneously:
• determining a future turning maneuver of the ego vehicle,
• detecting information about lane markings and a number of available lanes in a surrounding area in front of and next to the ego vehicle, and
• determining whether at least one further road user is in a relevant lane next to or behind the lane of the ego vehicle, and
• upon determining that at least one further road user is in the relevant lane next to or behind the lane of the ego vehicle, a future driving task of the road user is determined from the information about the lane markings and the number of available lanes, and upon determining that the ego vehicle and the road user are in different lanes of an at least two-lane turning lane, or that the road user leaves a lane of the road user before the turning maneuver of the ego vehicle, it is determined that there is no probability of a collision, wherein:
• a learning algorithm is used in order to improve classifiers for determining the probability of the collision,
• in training of the learning algorithm, chronologically continuous recordings of driving behavior of the ego vehicle, as well as surrounding area information, are input to a first classifier,
• in training of the learning algorithm, the chronologically continuous recordings of driving behavior of the ego vehicle and chronologically continuous recordings of driving behavior of further vehicles, as well as the surrounding area information, are input to a second classifier,
• an evaluation is made after completion of the turning maneuver of the ego vehicle,
• the first classifier classifies the driving behavior of the ego vehicle, and
• the second classifier classifies the driving behavior of the road user upon a determination by the first classifier that a lateral movement of the ego vehicle is present.