A system and method for assembling and using a map for supporting advanced driver assistance systems (ADAS) on a host vehicle are disclosed. The map indicates which roadway segments can support automated driving. The map may also indicate which vehicle sensor signal interpretation and vehicle control algorithms shall be used on those segments. The map may be assembled on a host vehicle, transmitted to a server and collated with maps from other vehicles equipped with ADAS. The host vehicle may download the other maps from the server for use in locations where the driver assistance sensor input from the host vehicle may not be dependable.

A system for controlling vehicles using distributed cloud computing is provided. The system includes a first layer cloud server for collecting vehicle status data generated in a vehicle from the vehicle in real time and processing the collected data in real time. A second layer cloud server receives the vehicle status data generated in the vehicle, data collected by the first layer cloud server or data processed in the first layer cloud server, processes the received data, stores the processed data, and provides the stored data to the vehicle directly or via the first layer cloud server.

Disclosed are systems and techniques for using blockchain technology to maintain and validate a vehicle ledger. The technique includes receiving, at a master node in the system, a request to update a vehicle ledger associated with a first vehicle node comprising the system. If first criteria are met, the system updates the vehicle ledger, including: generating an updated version of the vehicle ledger using vehicle data stored in a master ledger associated with the master node, and transmitting the updated version of the vehicle ledger to the first vehicle node. If the first criteria are not met, the system forgoes updating the vehicle ledger. The vehicle data corresponds to a first vehicle associated with the first vehicle node. The master ledger is implemented using a blockchain that contains vehicle records for vehicles associated with the system. The blockchain includes a first block including vehicle data corresponding to the first vehicle.

A method for controlling a vehicle using a model predictive controller generating consecutive sets of reference states at a calculation frequency. In one embodiment, the method comprises: receiving a trajectory reference for guiding movement of the vehicle; generating, in a calculation cycle repeated at the calculation frequency, a set of reference states based on an initial state of the vehicle at a start time of the calculation cycle and the trajectory reference; sending the set of reference states to a second controller; detecting, by the second controller at a detection frequency equal to or higher than the calculation frequency, an updated state of the vehicle; generating a vehicle control parameter value based on the updated state of the vehicle and a reference state of the set of reference states; and controlling the vehicle using the vehicle control parameter value.

Provided is a method and apparatus for operating an autonomous driving controller, the method including generating route information for the vehicle based on a rule, transitioning from an autonomous driving mode to an autonomous driving disable mode, in response to the driving route information not being generated for an amount of time greater than or equal to a threshold, tracking at least one neighboring vehicle based on data sensed by a sensor, and generating temporary driving route information based on a movement of the at least one neighboring vehicle.

A method and an apparatus for controlling a hybrid electric vehicle are disclosed. The method includes: determining whether an uphill section is present on a driving route; calculating a regenerative braking amount at a downhill section following the uphill section; determining whether a state of charge (SOC) of a low voltage battery is equal to or greater than a first predetermined value at the time of entering the uphill section; determining whether an SOC of a high voltage battery is equal to or greater than a second predetermined value when the SOC of the low voltage battery is equal to or greater than the first predetermined value; and controlling the MHSG to generate auxiliary torque corresponding to the regenerative braking amount at the downhill section when the SOC of the high voltage battery is equal to or greater than the second predetermined value.

In one embodiment, a system determines a difference in time between a local time source and a time of a GPS sensor. The system determines a max limit in difference and a max recovery increment or max recovery time interval for a smooth time source recovery. The system determines that the difference between the local time source and a time of the GPS sensor to be less than the max limit. The system plans a smooth recovery of the time source to converge the local time source to a time of the GPS sensor within the max recovery time interval. The system generates a timestamp based on the recovered time source to timestamp sensor data for a sensor unit of the ADV.

The invention relates to a method for estimating a current wheel circumference of at least one wheel arranged on a vehicle, said method comprising the following steps: (a) determining a reference speed of the vehicle at a point in time by means of a reference apparatus, (b) detecting a wheel rotational speed of the at least one wheel at said point in time by means of a wheel rotational speed sensor, (c) estimating a single wheel-circumference value based on the determined reference speed and the detected wheel rotational speed for said point in time by means of a calculation apparatus, (d) storing at least the estimated single wheel-circumference value in a circular buffer for said point in time, (e) repeating steps (a) to (d) for at least one other point in time, estimating a current wheel circumference based on the single wheel-circumference values stored in the circular buffer by means of the calculation apparatus, outputting the estimated current wheel circumference as a wheel circumference signal. The invention further relates to an associated device.

In automated vehicle & highway systems, status information of an intersection where a first vehicle tries to enter and a Signal Phase and Timing (SPaT) message are received, a traveling route of the first vehicle is set on a High-Definition (HD) map generated using the intersection status information, lane information having the same lane status as that of a travel lane of the first vehicle is acquired based on the intersection status information and the SPaT message, and a first validity determination for determining whether the intersection status information and the SPaT message are valid is executed based on the lane information and the HD map. Accordingly, a validity of the received message can be determined. The present invention is associated with an artificial intelligence module, an unmmanned aerial vehicle (UAV) robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service.

A method includes monitoring environmental conditions surrounding a moving vehicle, using an on-board sensor of the moving vehicle, detecting that at least one of the environmental conditions surrounding the moving vehicle is likely to impair visibility for a driver of the moving vehicle, based on an output of the on-board sensor, acquiring static map data for a location surrounding the moving vehicle, acquiring real time sensor data for the location surrounding the moving vehicle, where the real time sensor data comprises outputs of a plurality of on-board sensors of a plurality of other vehicles, generating an augmented reality view of the location surrounding the moving vehicle, using the static map data, the real time sensor data, and the output of the on-board sensor, and displaying the augmented reality view of the location surrounding the moving vehicle on a display within the moving vehicle.