A self-driving safety evaluation method, including determining R.sub.B based on a risk value of a vehicle in a shadow driving mode in a first measurement unit, where R.sub.B is a risk value of the vehicle in the shadow driving mode in a plurality of measurement units, and determining R.sub.C based on a risk value of the vehicle in a self-driving mode based on a preset route in the first measurement unit, where R.sub.C is a risk value of the vehicle in the self-driving mode based on the preset route in the measurement units, where R.sub.B and R.sub.C are used to determine whether safety of the vehicle in the self-driving mode meets a requirement.

An apparatus and a method are capable of accurately deciding a maneuver of a surrounding vehicle. The apparatus includes a first surrounding vehicle information detector configured to obtain first surrounding vehicle information for a surrounding vehicle of a vehicle by using a front radar device. The apparatus further includes a second surrounding vehicle information detector configured to obtain second surrounding vehicle information for the surrounding vehicle by using a corner radar device. The apparatus also includes a processor configured to decide a motion of the surrounding vehicle by using the first surrounding vehicle information and the second surrounding vehicle information. The processor is also configured to decide a maneuver of the surrounding vehicle by using maneuver decision logic derived by a mechanical training technique. The processor is further configured to decide a final maneuver of the surrounding vehicle by using the two decision results.

A collision avoidance apparatus including: a first detector configured to detect another vehicle information including a longitudinal velocity and a lateral velocity of another vehicle, and distance information including a longitudinal distance and a lateral distance from another vehicle; a second detector configured to detect subject vehicle information including a velocity and a yaw rate of the subject vehicle; a calculator configured to determine whether steering avoidance is executable, on the basis of the another vehicle information, the subject vehicle information, and the distance information, and when steering avoidance is executable, calculate steering avoidance information on steering avoidance of the subject vehicle; and a control unit configured to control the subject vehicle to travel according to the steering avoidance information. Therefore, it is possible to prevent execution of steering avoidance in a case where steering avoidance is not needed or is inexecutable, and safer steering avoidance can be performed.

A system for lateral adaptive cruise control for use in a vehicle includes a main body, a power source, and a brake. The system further includes an input device to receive an adaptive cruise control request. The system further includes an object sensor to detect lateral object data. The system further includes an ECU designed to determine a velocity of the lateral object or a relative distance to the lateral object based on the lateral object data, determine a lane entrance event corresponding to the lateral object traveling towards a current lane occupied by the main body based on the at least one of the velocity of the lateral object or the relative distance to the lateral object, and control at least one of the power source or the brake to adjust a current speed of the main body based on the lane entrance event.

The present disclosure provides a collision avoidance apparatus including: a first detector configured to detect another vehicle information including a longitudinal velocity and a lateral velocity of another vehicle, and distance information including a longitudinal distance and a lateral distance from another vehicle; a second detector configured to detect subject vehicle information including a velocity and a yaw rate of the subject vehicle; a calculator configured to determine whether steering avoidance is executable, on the basis of the another vehicle information, the subject vehicle information, and the distance information, and when steering avoidance is executable, calculate steering avoidance information on steering avoidance of the subject vehicle; and a control unit configured to control the subject vehicle to travel according to the steering avoidance information. Therefore, it is possible to prevent execution of steering avoidance in a case where steering avoidance is not needed or is inexecutable, and safer steering avoidance can be performed.

A method of lane change and path planning that receives sensed signals from multiple sensors through a car computer on a vehicle to generate multiple traveling speed time-sorted information and multiple surrounding circumstance time-sorted information, and to further generate a 33 grid corresponding to the surroundings of the vehicle; when receiving a signal to switch on the turn signals, the car computer selects data within a time interval from those traveling speed time-sorted information and surrounding circumstance time-sorted information, respectively; and then the selected data is to be processed together with the 33 grid to generate a lane change space, and through a decision strategy to determine whether the lane change space complies with a safety movement strategy, and then the car computer generates a planned path of movement, such that a safest space for assisting lane change is provided for improving convenience and safety.

Driving control systems and methods include a first vehicle having one or more processors programmed to receive an individual driving behavior model specific to a driver of a second vehicle proximate the first vehicle. The individual driving behavior model is based on historical driving behavior of the driver of the second vehicle. The one or more processors are programmed to identify a motion plan for the first vehicle based on the individual driving behavior model specific to the driver of the second vehicle, and to control movement of the first vehicle according to the identified motion plan.

A vehicular control system includes a forward viewing camera and a non-vision sensor. The control, responsive to processing of captured non-vision sensor data and processing of frames of captured image data, at least in part controls the equipped vehicle to travel along a road. The control, responsive at least in part to processing of frames of captured image data, determines lane markers on the road and determines presence of another vehicle traveling along the traffic lane ahead of the equipped vehicle and determines a trajectory of the other vehicle relative to the equipped vehicle. The control stores a trajectory history of the determined trajectory of the other vehicle relative to the equipped vehicle as the other vehicle and the equipped vehicle travel along the traffic lane.

Provided are autonomous vehicles (AV), computer program products, and methods for maneuvering an AV in a roadway, including receiving forecast information associated with predicted trajectories of one or more actors in a roadway, determining a relevant trajectory of an actor based on correlating a forecast for predicted trajectories of the actor with the trajectory of the AV, regenerate a distance table for the relevant trajectory previously generated for processing constraints, generate a plurality of margins for the AV to evaluate, the margins based on a plurality of margin types for providing information about risks and effects on passenger comfort associated with a future proximity of the AV to the actor, classifying an interaction between the AV and the actor based on a plurality of margins, and generating continuous scores for each candidate trajectory that is also within the margin of the actor generated for the relevant trajectory.

In a target track generation apparatus, a subject vehicle reference preceding vehicle position calculator calculates a point group of subject vehicle reference preceding vehicle positions representing a history of a relative position of a preceding vehicle in a coordinate system using a current position of a subject vehicle as a reference. A target track generator generates a target track of the subject vehicle, based on the point group of the subject vehicle reference preceding vehicle positions. A correction target track generator generates a correction target track obtained by correcting the target track, based on the point group of the subject vehicle reference preceding vehicle positions or the target track, when it is determined that correction of the target track is necessary.