Abstract: A method for checking a vehicle includes receiving measured data by an electronic computing device which is external to the vehicle and which is different from the vehicle. The measured data are received from a measurement device which is different from the vehicle and different from the electronic computing device and the measured data characterize an acceleration of the vehicle recorded by the measurement device and/or a noise of the vehicle recorded by the measurement device and/or an image of a subregion of the vehicle recorded by the measurement device. The received measured data are evaluated by the electronic computing device and the vehicle is checked for a malfunction based on the evaluating of the received measured data by the electronic computing device.

Abstract: A vehicle drive assist apparatus includes a surrounding-condition-information acquiring unit that acquires surrounding condition information, a vehicle-state-information acquiring unit that acquires vehicle state information, a light-distribution control processor that executes light distribution control, a traveling control processor that executes traveling control in accordance with traffic lane designation, a DDI detector that detects a DDI in a front region based on the surrounding condition information and determines whether the vehicle is entering or exiting from the DDI based on the surrounding condition information and the vehicle state information, and a control switch. When the vehicle entering the DDI is detected, the control switch switches the traveling control and the light distribution control from standard traveling control to non-standard traveling control.

Abstract: A transportation vehicle, a device, a computer program, and a method to be performed in a transportation vehicle. The method includes receiving environment information relating to an environment of the transportation vehicle from another transportation vehicle, validating the environment information to generate reliability information relating to the environment information, and transmitting the environment information with the reliability information.

Abstract: A sensor bias estimation device for estimating a bias of a yaw angular velocity sensor of a vehicle, includes: a bias estimation unit that acquires a yaw angular velocity integrated value by integrating a yaw angular velocity acquired from a yaw angular velocity sensor, acquires a GNSS azimuth from a GNSS unit which calculates, as the GNSS azimuth, an azimuth of the vehicle based on a GNSS signal, and acquires an estimated bias value based on an azimuth difference which is a difference between the yaw angular velocity integrated value and the GNSS azimuth; a first determination unit that determines whether a first condition that an accuracy of the GNSS azimuth acquired from the GNSS unit is within a prescribed range is met; and a bias decision unit that decides the estimated bias value as the bias of the yaw angular velocity sensor when the first condition is met.

Abstract: This crane information display system is provided with a terminal device having a camera and captures an image of a crane with the camera to obtain a camera image, the crane information display system including a crane information acquisition unit that reads display information of an information display unit, which is mounted in the crane, from the camera image and acquires information about the crane; a position/orientation calculation unit that calculates the position and orientation of the crane from the camera image; an information processing unit that converts the information about the crane acquired by the crane information acquisition unit into three-dimensional image information corresponding to the position and orientation of the crane calculated by the position/orientation calculation unit; and an image display unit that overlays the information about the crane converted by the information processing unit on the camera image and displays the same.