An automated collision mitigation system of a vehicle includes a vehicle controller, a free space monitor unit, a rear collision monitor unit, a communicator, a drivetrain system and a braking system. The free space monitor unit detects a free space in front of a host vehicle and the rear collision monitor unit detect parameters of a remote vehicle located rearwardly of the host vehicle. The communicator sends and receives signal from the other vehicles or infrastructures by V2V or V2I wireless network. The vehicle controller evaluates an accelerating time of the host vehicle and a time-to-collision of the rear remote vehicle. In addition, the vehicle controller determines to activate the drivetrain system or the braking system of the host vehicle.

The present disclosure provides an automatic driving system, fault alarm method and device, the system includes a primary monitoring device, an auxiliary monitoring device, at least one device to be detected and a fault alarm device; where the primary monitoring device and the auxiliary monitoring device are respectively connected to each device to be detected and the fault alarm device; the primary monitoring device and the auxiliary monitoring device are connected, the primary monitoring device and the auxiliary monitoring device respectively perform a fault detection on the each device to be detected; and if it is detected that any device to be detected is abnormal, the primary monitoring device or the auxiliary monitoring device sends an alarm instruction to the fault alarm device, so that the fault alarm device performs an alarm operation according to the alarm instruction.

Method and apparatus are disclosed for mobile device tethering for a remote parking assist system of a vehicle. An example vehicle includes first and second wireless modules and a processor. The processor estimates a region of probability representative of possible locations of a mobile device based on a first signal strength indicator. When the region of probability overlaps a virtual boundary, the processor polls a key fob, estimates a distance of the key fob from the vehicle based on a second signal strength indicator, and when the key fob is within the virtual boundary, enable autonomous parking.

An automotive vehicle includes at least one sensor configured to detect features in a region proximate the exterior of the vehicle, at least one actuator configured to control vehicle steering, propulsion, shifting, or braking, and an automated driving system selectively operable in a nominal mode and in a degraded mode. The automated driving system is configured to generate an actuator control signal for the at least one actuator in response to sensor signals from the at least one sensor. The automated driving system includes a computational accelerator processor. The vehicle further includes a monitor processor in communication with the automated driving system. The monitor processor is configured to provide a test input for processing by the computational accelerator processor, receive a test output from the computational accelerator processor, and in response to the test output not satisfying a validation criterion, control the automated driving system in the degraded mode.

A brake control system is for a vehicle containing an internal controller for outputting an internal control variable for at least one brake actuator. An interface receives an external control variable for the at least one brake actuator from an external controller. A decision circuit has at least two inputs for receiving the internal control variable and the external control variable and an output for outputting a control signal for the at least one brake actuator. The control signal depends on the received internal control variable and/or the received external control variable.

The present disclosure relates to a method of driving a motor vehicle. The method determines position data relating to at least one of a current position or a predicted future position of the motor vehicle detecting, using at least one sensor device, surroundings data relating to a surrounding environment of the motor vehicle, determining at least one driving intervention based on the surroundings data, and controlling at least one vehicle system of the motor vehicle to execute the determined at least one driving intervention. The at least one driving intervention executed by a selected software module that is selected based on the surroundings data, and the selected software module is selected from a plurality of software modules based on the position data. Each software module is configured to execute the at least one driving intervention.

A hybrid vehicle includes a power generation apparatus including an engine and an electric motor, an electricity storage device configured to supply electricity to the electric motor or to be supplied with electricity from the electric motor, a mode switch configured to permit a driver to perform switching between a CD mode and a CS mode, and an electronic control unit. The electronic control unit is configured to control the power generation apparatus such that the engine is started up with a higher frequency when the driver switches the traveling mode from the CD mode to the CS mode while the state-of-charge is higher than the upper limit of the control center value, than when the driver switches the traveling mode from the CD mode to the CS while the state-of-charge is equal to or lower than the upper limit of the control center value.

A system and method for utilizing aggregated weather data (AWD) for deriving road surface condition (RSC) estimates. This system and method supplements road friction estimates (RFEs) made at the vehicle level with AWD in the cloud to form the RSC estimates, which are then transmitted to the vehicles such that more accurate RFEs can be made locally, and so on. Conventional RFE physics-based models are replaced with enhanced RFE trained machine learning (ML) models accordingly. Global RSC estimates are derived for each geographical region using weather and location constraints. Thus, improved autonomous driving and driver assist functions may be implemented, better driver warnings may be provided, and safer road trips may be planned in advance based on a thorough analysis of the drivable conditions.

Systems are provided for radiant heating by a window shade. A window shade system for a window of an enclosed space includes a window shade configured to cover at least a portion of the window. A radiant heating fabric extends over at least a portion of the window shade. A power supply supplies electric current to the radiant heating fabric.

A vehicle control device includes a recommended lane determiner which determines a recommended lane in which a vehicle will travel, an acquirer which acquires road information including a road shape, and an automated driving controller which causes the vehicle to travel along the recommended lane determined by the recommended lane determiner, and determines details of control of automated driving on the basis of the road information acquired by the acquirer when the recommended lane determined by the recommended lane determiner is switched from a first recommended lane to a second recommended lane.