A vehicle control system includes a memory, a first processor mounted in a vehicle, and a second processor different from an in-vehicle device. The first processor and the second processor are configured to execute acquisition processing, operation processing, reward calculation processing, and update processing. The first processor is configured to execute at least the acquisition processing and the operation processing, and the second processor is configured to execute the update processing.

A system and method of augmenting a delivery route. The method comprises receiving first location information from a first position device and receiving second location information from a second position device. The method further comprises storing the first and second location information in a memory structure and determining, based on at least one of the first and second information, a time and a location for each of a plurality of stops. The method also comprises reconciling the determined time and location of each of the plurality of stops with a stored route comprising a plurality of stored stops, the stored stops having a stored location and a stored time associated therewith and estimating a plurality of transition times between pairs of the plurality of stops. The method further also comprises constructing an updated timeline based on the plurality of stored stops, the plurality of determined stops, and the plurality of transition times and updating the delivery route based on the constructed timeline.

The disclosure belongs to the technical field of autonomous vehicle, in particular to an automatic driving acceleration test method considering efficiency and coverage, which includes the following steps. Step 1 is definition of scenario test priority. Step 2 is zone division. Step 3 is search within zones. Step 4 is update of scenario test priorities. Step 5 is iterative test. After selecting the automatic driving function to be tested and setting the parameters of the vehicle operation zone, the scenario generation range is formed. The coverage of the test scenario is improved by dividing the generated range and setting the freedom of early autonomous driving exploration. The efficiency of the test process is improved by continuously improving the probability of generating dangerous scenarios in the test process. Thus, it is ensured that the generated test scenarios take into account both test efficiency and test coverage.

A video signal processing apparatus according to an embodiment includes a controller. The controller receives (i) a plurality of video signals from a plurality of video sources including a camera and (ii) a specifying signal that specifies which one of the video signals is to be output to a display apparatus. The controller changes a wait time from an input of the specifying signal to an output of the video signal specified by the specifying signal to the display apparatus based on which one of the plurality of the video sources corresponds to the video signal specified by the specifying signal.

A computer-implemented method may include receiving, by a computing system on an autonomous vehicle, local weather data and routing data of the autonomous vehicle, the autonomous vehicle including a sensor platform mounted on the autonomous vehicle. The method may include based on the local weather data and the routing data, predicting, by the computing system using a thermal model, a thermal loading and a temperature of a component(s) of a sensor platform at one or more future times, the thermal loading and the temperature being during an operation of the autonomous vehicle. The method may include sending an overheating warning to a controller of the autonomous vehicle based on a determination that the thermal loading or the temperature of the component(s) exceeds a threshold. The method may include reporting a degraded state of the autonomous vehicle to park prior to a predicted overheating of the component(s).

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.

In this vehicle inspection system for inspecting the driving functionality of a vehicle that carries out automatic driving or driving assistance, when a monitor and the vehicle are being aligned on a bench testing machine, a simulator device displays an image of a straight road on the monitor, a wheel sensor (wheel position sensor) detects the steering direction of a wheel (front wheel) steered using a lane keeping function, and an image position adjustment device (monitor position adjustment device) moves the image in the opposite direction from the steering direction of the wheel until the wheel reaches a neutral state of not being steered.

An apparatus of controlling a vehicle may include a sensor that obtains state information of the vehicle, a plurality of controllers that operate in at least one communication domain, and a processor that detects a first controller that wakes up first among the plurality of controllers, wherein the processor is configured to determine whether to cut off power of the first controller according to whether the first controller is in a normal wake-up state based on the state information of the vehicle and whether the first controller is in a normal sleep state based on a sleep entry time of a communication domain.

Provided is an autonomous driving assistance system for vehicles that has redundancy without posing any problem in diversity. The autonomous driving assistance system includes: a sensor configured to acquire surroundings information; a downstream device including an actuator configured to control a vehicle; and a driving assistance device configured to calculate a control amount for the downstream device on the basis of the surroundings information. The downstream device further includes a diagnosis unit configured to: perform comparison between at least two control amounts that include the control amount calculated in the driving assistance device and a control amount calculated in the downstream device on the basis of the surroundings information; and determine, if the control amounts are equal to each other, that the control amounts are normal, and determine, if the control amounts are different from each other, that the control amounts are abnormal.

Systems and methods are provided for generating data for sensor system validation. A representative vehicle is equipped with a set of sensors positioned to provide a collective field of view defining a set of sensor locations as a set of master data and encompassing a field of view of a sensor positioned at any of the set of sensor locations. The set of sensor locations includes a sensor location at which no sensor of the set of sensors is placed. The representative vehicle is driven for a distance required for validation of a sensor system to provide master data representing the entire distance required for validation.