According to an embodiment, provided are a method and an apparatus for monitoring an unmanned ground vehicle (UGV), for detecting a failure of a UGV actuator in consideration of terrain information. Accordingly, the accuracy of detecting a failure of the UGV is improved.

A driving assistance system includes a front camera module (FCM). The system, responsive to processing captured image data from the FCM, generates FCM control signals. The system includes a plurality of vehicle sensors capturing sensor data and an advanced driving-assistance system (ADAS) controller. The ADAS controller, responsive to processing the sensor data, generates ADAS control signals. The ADAS controller generates an ADAS status signal indicating a reliability of the generated ADAS control signals. With the ADAS status signal indicating the reliability of the generated ADAS control signals is at or above a threshold ADAS reliability level, the system controls the vehicle using the ADAS control signal and, responsive to determining that the ADAS status signal indicates that the reliability of the generated ADAS control signals is below the threshold, switches from controlling the vehicle based on the ADAS control signals to controlling the vehicle based on the FCM control signals.

A driving system for a vehicle includes one or more sensors, a controller, an actuator, and a safety shut down switch. The controller includes a main processing circuit, a main processing module, an actuator drive, a safety processing circuit, a safety processing module, and a safety shutdown switch. The safety processing module is independent of the main processing module, and the safety processing module is configured to perform one or more safety functions.

An abnormality detection apparatus for a mobility entity and for detecting an abnormality in a network system is provided. The network system includes a first network and a second network that use different communication protocols. A first communication circuit receives state information indicating a state of the mobility entity. The state information is acquired from the second network. A second communication circuit transmits and receives a first frame according to a communication protocol used in the first network. A memory stores an abnormality detection rule. A processor detects, based on the state information and the abnormality detection rule, whether a control command included in the first frame received by the second communication circuit is abnormal. In a case where the control command is abnormal, the processor prohibits the control command from being transmitted.

The present application provides a point cloud data processing method, an apparatus, a device, a vehicle, and a storage medium, the method includes: acquiring, according to a preset frequency, raw data collected by sensors on a vehicle; and performing, according to the raw data of the sensors, data fusion processing to obtain a fusion result. By acquiring, according to the preset frequency, the raw data collected by the sensors on the vehicle in a latest period, and performing the data fusion processing to obtain the fusion result, a synchronous clock source may be removed, a weak clock synchronization may be realized, and the cost may be effectively reduced. The preset frequency may be flexibly set, which, when set with a larger value, can reduce a time difference between the raw data of the sensors and improve data accuracy.

User alert systems, apparatus, and related methods for use with vehicles are disclosed. A disclosed alert system for a vehicle includes an intrusion detection system (IDS) operatively coupled to the vehicle. The alert system also includes a network access device (NAD) operatively coupled to the vehicle and control circuitry configured to detect, via the IDS, a malicious message transmitted through a controller area network (CAN) bus of the vehicle. The control circuitry is also configured to generate a primary alert indicative of the malicious message and transmit, via the NAD, the primary alert to a primary user device corresponding to a driver of the vehicle. The control circuitry is also configured to generate a secondary alert indicative of the malicious message and transmit, via the NAD, the secondary alert to one or more secondary user devices different from the primary user device.

The present disclosure relates to a control system for selectively controlling a vehicle, ensuring high integrity of decisions taken by the control system when controlling the vehicle. The present disclosure also relates to a corresponding computer implemented method and to a computer program product.

A system for automatically stopping an autonomous vehicle, in which the autonomous vehicle includes a primary brake and a secondary brake controlled by least one control module or different control modules. The system includes: an error detection module configured to detect an error in the control of the primary brake or the secondary brake by the one control module or the different control modules; and a supplemental control module configured, upon a detected error by the error module, to cause a stop of the autonomous vehicle using the primary brake or the secondary brake.

A method for controlling the distribution of power to a traction motor in a plug-in electric vehicle having a plurality of on-board sources of electric power. Power is distributed at a normal power control relationship in response to an operator control input during operation in a normal mode. Power is depleted at a first rate during operation of the vehicle in the normal mode. Power is distributed at a derate power control relationship in response to the operator control input during operation in a derate mode. Power is depleted at a second rate that is less than the first rate during operation in the derate mode to conserve the power of the one or more on-board sources. Operation in the derate mode can be initiated in response to information from sensors identifying a vehicle condition indicating a battery charge limitation.

A lighting device includes: a communication unit that communicates with a vehicle which drives autonomously; a diagnostic unit that performs, via the communication unit, diagnosis as to whether the vehicle is being hacked; and a light emitter that emits illumination light onto at least one of the vehicle, a road on which the vehicle travels, or a parking space in which the vehicle parks.