Abstract: A method for calibrating coordinates of a bucket, a method for updating coordinate calibration, a computer device, a calibration system, a non-transitory computer-readable storage medium and an excavator are provided. The method for calibrating coordinates of a bucket includes: acquiring lidar point cloud data and angle sensor data of the bucket of an excavator; determining coordinates of a middle bucket tooth of the bucket in a lidar coordinate system according to the lidar point cloud data of the bucket; determining the coordinates of the middle bucket tooth of the bucket in an excavator coordinate system according to the angle sensor data of the bucket; and determining a coordinate calibration matrix according to the coordinates of the middle bucket tooth of the bucket in the lidar coordinate system and in the excavator coordinate system.

Abstract: The present disclosure relates to a method, apparatus and system for estimating the coordinates of the bucket tooth tip, an excavator and a storage medium. The method includes: establishing a kinematic model of an excavator according to dimensions of a plurality of components of the excavator, and obtaining measured values of the coordinates of the bucket tooth tip of the excavator according to angles of the plurality of components of the excavator measured by excavator sensors with the kinematic model; obtaining a system noise and a measurement noise of the coordinates of the bucket tooth tip of the excavator; and determining estimated values of the coordinates of the bucket tooth tip of the excavator according to the measured values of the coordinates of the bucket tooth tip of the excavator, the system noise and the measurement noise of the coordinates of the bucket tooth tip of the excavator.

Abstract: The present disclosure provides a control system, a control method and machine, a storage medium and a program product.

Abstract: The invention relates to a driving assistance method for a vehicle, wherein the movement of the vehicle in the direction of travel can be influenced in accordance with a traffic-controlling signal system positioned on the road in front of the vehicle and having cyclically recurring signal states, and wherein, inside the vehicle, first data relating to the position of a stop line associated with the signal system, and second data relating to the start times and end times of individual signal states of the signal system are determined via a first data processing system (electronic horizon) and provided in the form of data packets (messages) (A, B) for electronic control devices by means of a data connection inside the vehicle, and wherein individual data packets contain at least the following data: an earliest possible and/or latest possible time for the exchange of a signal phase, as well as a most probable time of the exchange of a signal phase.

Abstract: The invention relates to a driving assistance method for a vehicle, wherein the movement of the vehicle in the direction of travel can be influenced in accordance with a traffic-controlling signal system positioned on the road in front of the vehicle and having cyclically recurring signal states, and wherein, inside the vehicle, first data relating to the position of a stop line associated with the signal system, and second data relating to the start times and end times of individual signal states of the signal system are determined via a first data processing system (e Horizon) and provided in the form of data packets (messages) (A, B) for electronic control devices by means of a data connection inside the vehicle, and wherein individual data packets contain at least the following data: an earliest possible and/or latest possible time for the exchange of a signal phase, as well as a most probable time of the exchange of a signal phase.

Abstract: A method for queue recognition by wireless vehicle to vehicle communication includes: checking a relevance for surrounding vehicles from which an ego vehicle receives messages by a comparison with relevance criteria and establishing a relevance if the relevance criteria are satisfied; selecting the speed and position values that are associated with relevant surrounding vehicles and have the speed values indicating a same direction of travel as the ego vehicle; defining a first virtual vehicle to which mean values of selected speed and position values are allocated as values for the at least one first virtual vehicle; recording a time profile of the speed and position values of the at least one first virtual vehicle; recording, as a change value, the time profile of changes in the speed and position values of the first virtual vehicle; and comparing the change value with a queue criterion.