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.

A vehicle diagnostic system includes: a vehicle diagnostic device including a communication unit that communicates with a vehicle which drives autonomously, and a diagnostic unit that performs, via the communication unit, diagnosis as to whether the vehicle is being hacked; and electrical apparatuses that communicate with the vehicle diagnostic device via a network. The diagnostic unit performs the diagnosis when an operational state of at least one electrical apparatus among the electrical apparatuses changes.

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.

A computing system is implemented as part of a vehicle architecture. The computing system includes a computing component, a first computing node that includes a power distribution system, a second computing node that includes input/output (I/O) interfaces to connect to devices, actuators, or sensors, and a third computing node. The computing component further comprises one or more processors and instructions or logic that, when executed by the one or more processors, cause the computing component to perform, transmitting commands to the second computing node, the commands associated with initial processing of data received at the second computing node, receiving initially processed data from the second computing node, and performing further processing on the initially processed data.

Among other things, we describe techniques for an interface board for harmonizing performance of different autonomous vehicles in a fleet. In an embodiment, the interface system includes a printed circuit board installed in a host vehicle that includes an interface controller and interface circuitry coupled to the interface controller. The interface circuitry includes a plurality of relays configured by the interface controller to route/pass sensor signals received from actuators of the host vehicle to the interface controller, and route/pass control signals from the interface controller to actuator controllers of the host vehicle that control the actuators in accordance with an operating mode. Signal conditioning circuitry in the interface controller conditions the sensor signals and control signals to ensure that the electrical characteristics of the sensor signals are compatible with the interface controller, and that the electrical characteristics of the control signals are compatible with the actuator controllers.

A vehicle can capture data that can be converted into a synthetic scenario for use in a simulator. Objects can be identified in the data and attribute data associated with the objects can be determined. Updated attribute data may be determined based on confidence values and/or distance measurements associated with the attribute data. The object and attribute data may be used to generate synthetic scenarios of a simulated environment, including simulated objects that traverse the environment and perform actions based on the attribute data associated with the simulated objects, the captured data, and/or interactions within the simulated environment. The scenarios can be used for testing and validating interactions and responses of a vehicle controller within the simulated environment.

A vehicle can capture data that can be converted into a synthetic scenario for use in a simulator. Objects can be identified in the data and attribute data associated with the objects can be determined. Updated attribute data may be determined based on confidence values and/or distance measurements associated with the attribute data. The object and attribute data may be used to generate synthetic scenarios of a simulated environment, including simulated objects that traverse the environment and perform actions based on the attribute data associated with the simulated objects, the captured data, and/or interactions within the simulated environment. The scenarios can be used for testing and validating interactions and responses of a vehicle controller within the simulated environment.

Embodiments of the present disclosure relate to generating velocity profiles for an autonomous vehicle (101). An ECU (107) of the autonomous vehicle (101) receives road information from one or more sensors (106) associated with the autonomous vehicle (101). One or more parameters related to smooth movement of the autonomous vehicle on the road is determined from the road information. Further, a first velocity profile is produced using an AI model and a second velocity profile is produced using a hierarchical model, based on the one or more parameters. Furthermore, one of the first and the second velocity profile is selected by comparing the first and the second velocity profiles. The selected velocity profile has a lower value of velocity value compared to the other velocity profile. The selected velocity profile is provided to the autonomous vehicle (101) for navigating on the road (102) smoothly.