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.

Disclosed are devices, systems and methods for using a rotating camera for vehicular operation. One example of a method for improving driving includes determining, by a processor in the vehicle, that a trigger has activated, orienting, based on the determining, a single rotating camera towards a direction of interest, and activating a recording functionality of the single rotating camera, where the vehicle comprises the single rotating camera and one or more fixed cameras, and where the single rotating camera provides a redundant functionality for, and consumes less power than, the one or more fixed cameras.

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.

Four-wheel steering of a vehicle, e.g., in which leading wheels and trailing wheels are steered independently of each other, can provide improved maneuverability and stability. A first vehicle model may be used to determine trajectories for execution by a vehicle equipped with four-wheel steering. A second vehicle model may be used to control the vehicle relative to the determined trajectories. For instance, the second vehicle model can determine leading wheels steering angles for steering leading wheels of the vehicle and trailing wheels steering angles for steering trailing wheels of the vehicle, independently of the leading wheels.

A method and an apparatus for controlling an autonomous driving vehicle are provided. The method includes: receiving environment information sent by an autonomous driving vehicle, the environment information including vehicle exterior environment information; determining whether the autonomous driving vehicle is in an abnormal operation status, based on the vehicle exterior environment information and operation information of an operation executed by the autonomous driving vehicle; and sending a braking control instruction and a data acquisition instruction to the autonomous driving vehicle, in response to determining that the autonomous driving vehicle is in the abnormal operation status, the braking control instruction being used for controlling braking of the autonomous driving vehicle, and the data acquisition instruction being used for acquiring data of a driving recorder in the autonomous driving vehicle.

A control system and method for controlling a vehicle subsystem are provided. The control system includes a remote parameter sensor configured to generate a remote parameter signal indicative of a value of a universal parameter associated with an environment in which a vehicle is operating. The system further includes a local parameter sensor configured to generate a local parameter signal indicative of the value of the universal parameter and a local controller. The controller is configured to receive the local parameter signal along a first signal path, receive the remote parameter signal and a command signal configured for controlling a function of the vehicle subsystem along a second signal path, compare the local and remote parameter signals and implement the function of the vehicle subsystem responsive to the command signal if the remote parameter signal meets a predetermined condition relative to the local parameter signal.

A smart cruise control (SCC) system based on complex information and a method of controlling the same. The method includes setting an SCC user-setting speed as a vehicle speed when an SCC function is turned on, driving a vehicle at the set vehicle speed, deriving vehicle speed limit information of a road section in which the vehicle is travelling from navigation speed limit information, road sign speed limit information, and surrounding vehicle speed information of the road section, and controlling the vehicle speed on the basis of the derived vehicle speed limit information.

A method for shifting a transmission in a machine. The method includes detecting a request for a directional shift of the transmission and determining a ground speed of the machine in response to the request. The method further includes overriding the request if the ground speed is above a ground speed threshold. Further, the method includes preparing the machine for the directional shift by limiting an output speed of a power source of the machine and by issuing a command to a brake unit of the machine to reduce the ground speed of the machine. Furthermore, the method includes validating and raising the request to the transmission to execute the directional shift if the ground speed is below the ground speed threshold.

Examples disclosed herein relate to an autonomous driving system in an ego vehicle. The autonomous driving system includes a radar system configured to detect and identify a target in a path and a surrounding environment of the ego vehicle. The autonomous driving system also includes a sensor fusion module configured to receive radar data on the identified target from the radar system and compare the identified target with one or more targets identified by a plurality of perception sensors that are geographically disparate from the radar system. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the ego vehicle.