A vehicle positioning method via data fusion and a system using the same are disclosed. The method is performed in a processor electrically connected to a self-driving-vehicle controller and multiple electronic systems. The method is to perform a delay correction according to a first real-time coordinate, a second real-time coordinate, real-time lane recognition data, multiple vehicle dynamic parameters, and multiple vehicle information received from the multiple electronic systems with their weigh values, to generate a fusion positioning coordinate, and to determine confidence indexes. Then, the method is to output the first real-time coordinate, the second real-time coordinate, and the real-time lane recognition data that are processed by the delay correction, the fusion positioning coordinate, and the confidence indexes to the self-driving-vehicle controller for a self-driving operation.

An example vehicle can include a sensor platform and a controller that is configured to determine an object that is in front of the vehicle, determine the object as a hazard by at least one of determining, using dead reckoning, that the object is in a path of travel of the vehicle that will cause the object to travel under a restricted zone of the vehicle and/or the object has a height that is higher than a vehicle ride height.

An autonomous driving control system and a method thereof are provided. The autonomous driving control system includes a strategy performing device that generates and performs a stop strategy of a vehicle on the basis of a target stop location, when a critical situation occurs during autonomous driving, a behavior controller that controls a behavior of the vehicle depending on the stop strategy, and an emergency module controller that runs a predetermined emergency module, when the critical situation occurs.

A cruise control apparatus controls travel of an own vehicle based on a predicted course which is a future travel course of the own vehicle. The cruise control apparatus includes a first predicted course calculating unit and a second predicted course calculating unit, as a plurality of course prediction means for calculating a predicted course, and is provided with a course change determination unit for determining whether a change in the course is to be performed and a prediction switching unit which performs switching to enable one of a first predicted course calculated by the first predicted course calculating unit and a second predicted course calculated by the second predicted course calculation unit, the switching being based on a result of determination made by the course change determination unit as to whether a change in the course is to be performed.

A system and a method are disclosed for determining a range of potential distances between a work machine and an object. The system receives an image captured by a camera on the work machine and identifies an object in the image. The system determines an angle between the camera and the object, a height associated with the object, and an uncertainty associated with the height. Based on the angle, the height, and the uncertainty, the system determines a range of potential distances between the work machine and the object. The shortest distance in the range is compared to a threshold distance for safe operation of the work machine. When the shortest distance in the range is less than the threshold distance, the system causes the work machine to perform a safety action.

A vehicle control method for executing a lane change of a subject vehicle includes acquiring surrounding information of the subject vehicle; specifying an entry position indicating a position of an entry destination of the subject vehicle, the entry position being located on a second lane adjacent to a first lane in which the subject vehicle is traveling; when operating a blinker, decelerating the subject vehicle, and executing a lane change; determining that there is a following vehicle which follows the subject vehicle in a predetermined area located behind the subject vehicle on a first lane; setting a preparation time longer than the preparation time when determining that there is not the following vehicle, the preparation time indicating a time from operating the blinker to decelerating the subject vehicle and starting the lane change; and controlling a travel position of the subject vehicle on the first lane within the preparation time.

System, methods, and other embodiments described herein relate to emulating vehicle dynamics. In one embodiment, a method for emulating vehicle dynamics in a vehicle having a plurality of wheels and equipped with all-wheel steering, includes receiving emulation settings that indicate one or more environment parameters and/or vehicle parameters, detecting driver inputs including at least steering input and throttle input, executing a simulation model that receives the driver inputs and emulation settings, simulates the vehicle operating based on the driver inputs and the emulation settings, and outputs one or more simulated states of the vehicle based on the simulated operation of the vehicle, determining one or more actuation commands for each wheel of the vehicle to cause the vehicle to emulate the one or more simulated states, and executing the one or more actuation commands, wherein the actuation commands include at least wheel angle commands and torque commands.

In a method for checking an at least semi-autonomous driving mode of a vehicle, intervention data are provided by a plurality of vehicles. The intervention data each represent a human intervention in an at least semi-autonomous driving mode of a vehicle. The intervention data includes sensor data at the time of the intervention and position data for a position at the time of the intervention. In accordance with the intervention data from the plurality of vehicles, a position is determined at which an increased number of vehicles registered a human intervention.

The invention relates to measuring blood pressure and the calibration of said measurement. Here, the intention is to specify solutions which facilitate a more accurate and/or less burdensome measurement. To this end, it is proposed to take pressure measurements in certain respiratory states and/or to undertake the calibration by means of pressure variations without physical activity, i.e., on account of respiration or changes in position, and/or separately for systolic pressure and diastolic pressure.

An autonomous driving control system and a method thereof are provided. The autonomous driving control system includes a strategy performing device that generates and performs a stop strategy of a vehicle on the basis of a target stop location, when a critical situation occurs during autonomous driving, a behavior controller that controls a behavior of the vehicle depending on the stop strategy, and an emergency module controller that runs a predetermined emergency module, when the critical situation occurs.