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 safe driving control system for vehicles includes one or more processors configured to: recognize a nearby vehicle approaching a host vehicle, and collect information about the nearby vehicle; receive distance information of the nearby vehicle, and determine an extent of collision danger between the host vehicle and the nearby vehicle based on a distance between the host vehicle and the nearby vehicle; and move the host vehicle in a direction in which there are no vehicles therearound based on the extent of collision danger.

An autonomous controller, a system including the same, and a method thereof include a processor that detects a target object attempting to cut in at a low speed during autonomous driving and that performs response control. The controller, system, and method include a storage storing data and an algorithm for detecting the target object and performing the response control. The processor calculates a final distance value on the basis of a point tracking a distance between a host vehicle and the target object and compares the final distance value with a predetermined threshold to determine whether the target object cuts in.

A system configured to avoid a rear-cross traffic collision includes an obstacle detection unit detecting a position of an obstacle by receiving electromagnetic waves reflected off a reflection point of the obstacle; a direction estimation unit estimating a traveling direction of the obstacle on the basis of the position of the obstacle detected by the obstacle detection unit; and a collision determination unit determining possibility of a collision with the obstacle on the basis of the traveling direction of the obstacle estimated by the direction estimation unit.

A method for reducing a risk of collision with an obscured object. The method includes detecting, by a detector, the object in proximity of the detector, and determining, by the detector, object data of the detected object in response to the detection. The method further includes determining, by the detector, any vehicle in motion in a direction towards an area where the detected object is or may be present, and transmitting, by the detector, the determined object data of the detected object to the vehicle. The method furthermore includes receiving, by the vehicle, the transmitted object data, processing, by the vehicle, the received object data to assess a collision risk based on a predicted route of the vehicle, and mitigating the collision risk, in the vehicle, based on the processed object data when the collision risk has been assessed.

Disclosed is a vehicle control method, including: obtaining a first velocity planned for an intelligent vehicle to travel in a first area; and obtaining a second velocity planned for the vehicle to travel in the first area, where the second velocity is obtained based on a collision potential energy, the first velocity and the second velocity each include a direction and a magnitude, and the first velocity, the second velocity, and a risk of a collision between the vehicle and a surrounding obstacle are used to determine an optimal velocity of the vehicle, so that the vehicle can effectively avoid the obstacle, thereby improving traveling safety of the vehicle. Also disclosed are a vehicle control apparatus, a vehicle controller, and a vehicle.

An object-tracking method includes: using the velocity of a track for tracking an object, generated from a point cloud related to the object, in a current recognition period (T) to obtain a current velocity-based heading angle of the track; accumulating scores associated with information about the current velocity-based heading angle and incorporating the accumulated scores into a heading history having regions sectioned for respective heading angles of the track; obtaining a history-based heading angle of the track using the heading history; and correcting the history-based heading angle using information about the shape of the track and determining the result of correction to be a final heading angle in the current recognition period (T).

The technology relates to planning trajectories for self-driving vehicles in order to transport passengers or cargo from a pickup location to a destination. Trajectory planning includes generating a speed plan for an upcoming portion of the trip in view of one or more constraints. The constraints may be due to proximity to an adjacent vehicle or other road user, and can include projected overlaps between the vehicle and other objects in the vehicle's nearby environment. Certain constraints may be binary or otherwise discontinuous in nature, in which a condition either exists at a given point in time or it does not. Noise in sensor data or prediction models may trigger such binary conditions, which in turn may cause the vehicle to alter the speed plan. Aspects of the technology employ permeable speed constraints that enable the vehicle to avoid problems associated with discontinuous constraints.

A method for providing driving assistance by detecting and warning against areas on one or other side of the road which are obscured by vehicles in other lanes is based on a HD map and includes acquiring location and driving speed of a vehicle which is carrying an apparatus applying the method. The system of the method includes at least one sensor, and environmental information as to surroundings is acquired with location. The speeds of other vehicles relative to the driving speed of the vehicle are calculated, and an instruction to the driver is generated the speed of the vehicle is less than a first predefined value but the speed of the vehicle relative to the driving speeds of the other vehicles is larger than a second predefined value. The apparatus applying the method is also disclosed.

A method for simulation of an autonomous vehicle includes preparing a setting of a parameter and an initial value configured to determine a driving condition of the autonomous vehicle and a driving condition of an event to be performed by a surrounding vehicle to implement a simulation environment of the autonomous vehicle. The method further includes performing a normal driving in which the surrounding vehicle travels at a speed and a position that match a predetermined condition set in the parameter to perform the event given, and performing an event driving in which the surrounding vehicle performs the event given based on a setting value of the parameter.