Abstract:
Provided are an apparatus and method for sharing vehicle information among autonomous vehicles. According to the apparatus and method, not only current driving-related information and future driving-related information of a self vehicle but also current driving-related information and future driving-related information of another vehicle is acquired and used to control travel of the self vehicle. Accordingly, the safety of travel is improved, and efficient autonomous travel is enabled.
Abstract:
A walking guidance apparatus using a walking guidance information database includes a feature point extracting unit configured to extract a feature point from an acquired image, a corresponding point search unit configured to search for a corresponding point based on a correspondence relationship between feature points extracted from consecutive images, a current position and walking direction calculation unit configured to calculate a current position and a walking direction of a pedestrian by calculating a 3D position and pose of a camera between the images by using camera internal parameters and a relationship between corresponding points, a guidance information generating unit configured to generate guidance information according to the current position and the walking direction of the pedestrian, and a guidance sound source reproducing unit configured to reproduce a guidance sound source corresponding to the guidance information in 3D based on the current position and the walking direction of the pedestrian.
Abstract:
The present invention relates to a human factor assessment method and system for autonomous driving. The human factor assessment method of autonomous driving includes generating an autonomous driving system twin based on autonomous driving system specifications and autonomous driving service logic, generating one or more human twins based on a human twin characteristic range, performing a simulation using the autonomous driving system twin and the human twin, and calculating a performance index of the autonomous driving service based on the simulation result.