Hyundai Motor Company

Kia Motors Corporation

Yonsei University

JuYun Ro

Hoon Ki Lee

Hyung Jun Lim

Dae Seok Jeon

Euntai Kim

Beomseong Kim

MinkYun Yoo

Seongkeun Park

YoungWon Kim

Jeong-Jae Yoo

HyunJu Kim

A vehicle for estimating a moving path of an object approaching from behind, and determining a probability for entering a rear lane and a probability of collision is provided. The vehicle includes a speed sensor that detects speed information, a direction sensor that detects driving direction information, and a radar that senses an object approaching the vehicle. A controller then estimates a moving path of an object traveling on a rear lane and approaching the vehicle from behind and determines whether the vehicle is able to enter the rear lane, based on the speed information acquired by the speed sensor, the driving direction information acquired by the direction sensor, and data of the object sensed by the radar. Accordingly, the controller detects a probability of collision with the object approaching the vehicle on the rear lane.

Vehicle and control method thereof

A road boundary detection system includes: an optical scanner configured to emit a light to an object to acquire measurement data reflected from the object; and a processor configured to extract a plurality of straight lines in order of a priority on each of the plurality of straight lines when a higher priority is given to a straight line including more of the contact points, based on the measurement data, configured to calculate a score of each straight line by assigning a score to the contact point included in the extracted straight lines and by assigning a score to a non-contact point included in other straight line having the same angle as the contact point, and configured to select a road boundary according to the priority of the calculated score of each straight lines.

Road boundary detection system and method, and vehicle using the same

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Seoul, South Korea

JuYun Ro