Disclosed are a track mergence module and a method by which track deletion conditions are set to be varied depending on various situations and a track corresponding to the set track deletion conditions is deleted. The track mergence module includes a track deletion condition generation and storage unit, a phenomenon determination unit and a track mergence unit. A track to be deleted may be accurately deleted by generating the track deletion conditions so as to adaptively correspond to the performance of a sensor and various situations in which a host vehicle is placed, thereby being capable of erroneous braking of the autonomously driving host vehicle.

A collision avoidance system for a subject vehicle. The system includes a secondary vehicle detection module that, based on at least one of inputs from sensors of the subject vehicle or a message transmitted by a secondary vehicle, detects the following: location, speed, and heading of the secondary vehicle, and whether the secondary vehicle intends to turn or change lanes. A warning module warns an operator of the subject vehicle of the secondary vehicle and the identified intention of the secondary vehicle, and modifies warning intensity based on the detected intention of the secondary vehicle to turn or change lanes. An adaptive cruise control module modifies at least one of speed and heading of the subject vehicle based on the detected intention of the secondary vehicle to turn or change lanes.

The disclosure provides a vehicle control system capable of mitigating the impact when an object collides with a vehicle by exerting active driving control on the vehicle, and capable of protecting an occupant. In a vehicle control system, a driving control part includes a relative speed calculating part which detects an advancing direction of an object approaching the vehicle and calculates a relative speed between the vehicle and the object approaching the vehicle, and an acceleration control part which, based on the relative speed, a position of the object, and the advancing direction of the object approaching the vehicle, in a case where it is determined that the object is going to collide with the vehicle, performs acceleration control to exert driving control which accelerates the vehicle in the advancing direction, so as to reduce the relative speed calculated by the relative speed calculating part.

An electronic device and method for more accurate autonomous driving, where the electronic device includes a sensor disposed in a moving object and configured to generate sensing data, and a processor configured to determine a predicted position of the moving object and a region of interest (ROI) based on a driving plan of the moving object, select a target position offset based on an available sensing region of the sensor in the ROI and the predicted position, and update the driving plan of the moving object based on the target position offset.

A method and system for target detection of a vehicle is proposed. In the method and system, when the vehicle is turning, a warning signal according to a risk level of collision is generated at the right timing as a risk level of collision between the host vehicle and the other vehicle behind the host vehicle may be accurately identified by correcting a driving path of the host vehicle and position of the other vehicle on the basis of a driving state of the host vehicle.

A vehicle parking assist system is disclosed. The system may include a detection unit configured to detect real-time presence, position, and orientation of a plurality of markers disposed on a parking space with respect to a vehicle. The system may further include a memory configured to store a historical vehicle movement pattern associated with the vehicle relative to the plurality of markers to park the vehicle in the parking space. The system may further include a processor configured to obtain a request to park the vehicle in the parking space. Responsive to obtaining the request, the processor may obtain the historical vehicle movement pattern and the real-time inputs. Based on the historical vehicle movement pattern and the real-time inputs, the processor may cause a vehicle movement to park the vehicle in the parking space.

An object recognition apparatus includes a LIDAR, a camera, a radar, and a processor. The processor may identify a LIDAR track, identify a fusion track, and generate a synthetic fusion track including at least one of a longitudinal position, a lateral position, a width, a length, or a heading represented by the fusion track and corresponding to the object based on determining that at least one of the following conditions is satisfied: a distribution shape of LIDAR points included in the LIDAR track satisfies a distribution condition, a width of the fusion track satisfies a width condition, a ratio of a width of the LIDAR track to the width of the fusion track satisfies a ratio condition, or class information of the object according to the fusion track satisfies a class condition.

A vehicle parking assist system is disclosed. The system may include a detection unit configured to detect real-time presence, position, and orientation of a plurality of markers disposed on a parking space with respect to a vehicle. The system may further include a memory configured to store a historical vehicle movement pattern associated with the vehicle relative to the plurality of markers to park the vehicle in the parking space. The system may further include a processor configured to obtain a request to park the vehicle in the parking space. Responsive to obtaining the request, the processor may obtain the historical vehicle movement pattern and the real-time inputs. Based on the historical vehicle movement pattern and the real-time inputs, the processor may cause a vehicle movement to park the vehicle in the parking space.

To provide an autonomous mobile robot configured not to cause any comfort to a human moving along a passage. An autonomous mobile robot includes: a determination unit configured to determine whether or not a distance between the autonomous mobile robot and a person has a value less than a predetermined value when the autonomous mobile robot moves along a passage, and a travel control unit configured to change a widthwise traveling position of the autonomous mobile robot in a passage from a first position to a second position when the distance between the autonomous mobile robot and the person has a value less than predetermined value, the second position being a position closer to an edge of the passage than the first position is.

Techniques for detecting and responding to an emergency vehicle are discussed. A vehicle computing system may determine that an emergency vehicle based on sensor data, such as audio and visual data. In some examples, the vehicle computing system may determine aggregate actions of objects (e.g., other vehicles yielding) proximate the vehicle based on the sensor data. In such examples, a determination that the emergency vehicle is operating may be based on the actions of the objects. The vehicle computing system may, in turn, identify a location to move out of a path of the emergency vehicle (e.g., yield) and may control the vehicle to the location. The vehicle computing system may determine that the emergency vehicle is no longer relevant to the vehicle and may control the vehicle along a route to a destination. Determining to yield and/or returning to a mission may be confirmed by a remote operator.