A backend for a hazard detection system comprising: a processor; and a memory in communication with the processor, the memory storing a set of instructions. The set of instructions, when accessed and executed by the processor, cause the processor to: receive vehicle and/or driver data from a vehicle, evaluate the received vehicle and/or driver data, use the evaluation as a basis for detecting a hazard in road traffic, and send the information about the detected hazard to at least one vehicle to warn said vehicle about the hazard.

A method including generating a curvilinear coordinate system from a current position of the vehicle. The method further includes generating a probability distribution from the curvilinear coordinate system and predicting a future vehicle behavior of the vehicle based on the probability distribution.

This document describes techniques, apparatuses, and systems for a grid-based road model with multiple layers. An example road-perception system generates a roadway grid representation that includes multiple cells. The road-perception system uses data from multiple information sources to generate a road model that includes multiple layers. Each layer represents a roadway attribute of each cell in the grid and includes one or more layer hypotheses. In this way, the described techniques and systems can provide an accurate and reliable road model and quantify uncertainty therein.

The vehicle movement control apparatus of the disclosure sets an update movement route as a target movement route when an update condition is satisfied. The apparatus acquires a turning characteristic, an acceleration characteristic, and a deceleration characteristic of a vehicle while executing an automatic movement control to cause the vehicle to move along the update movement route. The apparatus updates vehicle behavior characteristic data so as to represent actual vehicle behavior characteristics, based on the acquired turning characteristics, the acquired acceleration characteristic, and the acquired deceleration characteristic.

A method and an apparatus for controlling lane changing, and a storage medium includes: predicting a target pose of a vehicle changed to a second lane based on a current pose of the vehicle on a first lane in response to a trigger of changing the vehicle from the first lane to the second lane; and determining a lane changing preparation pose of the vehicle on the first lane based on the target pose and at least one parameter of the vehicle.

The present disclosure provides a vehicle and method for controlling the same. The vehicle includes: an input unit configured to receive a command to select a traveling mode; a controller configured to determine an Advanced Driver Assistance System (ADAS) setting parameter based on a traveling mode selected through the input unit and a driving pattern of a driver; and a display configured to display setting information regarding the determined ADAS setting parameter.

Vehicles may be composed of a relatively few number of “modules” that are assembled together during a final assembly process. An example vehicle may include a body module, a first drive module coupled to a first end of the body module, and a second drive module coupled to a second end of the body module. One or both of the drive modules may include a pair of wheels, a battery, an electric drive motor, and/or a heating ventilation and air conditioning (HVAC) system. One or both of the drive modules may also include a crash structure to absorb impacts. If a component of a drive module fails or is damaged, the drive module can be quickly and easily replaced with a new drive module, minimizing vehicle down time.

A method of providing automated application of turn radius reduction in a driver assist mode may include receiving steering wheel angle and wheel speed information to determine a target wheel slip during a turn. The method may further include comparing the target wheel slip to a current wheel slip to determine a slip error, and applying braking torque to an inside wheel based on the slip error to reduce the turn radius.

A traveling assistance apparatus recognizes a travel road on which a vehicle is traveling, acquires a traveling state of the vehicle, and determines whether or not the vehicle will deviate from the travel road based on the recognition result of the travel road and the traveling state of the vehicle. The apparatus determines whether to perform, as a prevention method for preventing from the travel road, a method in which either of steering control and brake control of the vehicle is performed, or a method in which a period over which either of the steering control and the brake control is performed and a period over which both of the steering control and the brake control are performed are set. The apparatus sets a steering amount for the steering control and a brake amount for the brake control when the deviation prevention control is performed based on the prevention method.

This document describes techniques, apparatuses, and systems for a grid-based road model with multiple layers. An example road-perception system generates a roadway grid representation that includes multiple cells. The road-perception system uses data from multiple information sources to generate a road model that includes multiple layers. Each layer represents a roadway attribute of each cell in the grid and includes one or more layer hypotheses. In this way, the described techniques and systems can provide an accurate and reliable road model and quantify uncertainty therein.