A cruise control apparatus controls travel of an own vehicle based on a predicted course which is a future travel course of the own vehicle. The cruise control apparatus includes a first predicted course calculating unit and a second predicted course calculating unit, as a plurality of course prediction means for calculating a predicted course, and is provided with a course change determination unit for determining whether a change in the course is to be performed and a prediction switching unit which performs switching to enable one of a first predicted course calculated by the first predicted course calculating unit and a second predicted course calculated by the second predicted course calculation unit, the switching being based on a result of determination made by the course change determination unit as to whether a change in the course is to be performed.

A method for processing a throttle control signal includes monitoring a signal transmission state of a throttle signal interface of an electronic speed regulator, determining that the signal transmission state is abnormal, and receiving the throttle control signal via a communication interface of the electronic speed regulator if the signal transmission state is determined to be abnormal.

Autonomous vehicle operational management may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include operating a scenario-specific operational control evaluation module instance, wherein the scenario-specific operational control evaluation module instance is an instance of a scenario-specific operational control evaluation module, wherein the scenario-specific operational control evaluation module implements a partially observable Markov decision process. Traversing the vehicle transportation network may include receiving a candidate vehicle control action from the scenario-specific operational control evaluation module instance, and traversing a portion of the vehicle transportation network based on the candidate vehicle control action.

A system for a vehicle is provided. The system may include a memory and at least one processor configured to: access a plurality of images of a forward-facing view from the vehicle, the plurality of images corresponding to image data obtained by a camera; determine from the images a first lane marking on a first side of a lane, the lane through which the vehicle can navigate, and a second lane marking on a second side of the lane opposite of the first side; navigate the vehicle autonomously relatively centered between the first and second lane markings; determine from the plurality of images that an object is on the first side or the second side of the lane, and the object beyond the first or second lane marking; and navigate the vehicle autonomously to travel over a driving path that is offset from a center of the lane.

An illustrative example object detection system includes a sensor having a field of view. The sensor is configured to emit radiation and to detect at least some of the radiation reflected by an object within the field of view. A panel in the field of view allows the radiation to pass through the panel. The panel being is configured to be set in a fixed position relative to a vehicle coordinate system. A plurality of reflective alignment markers are situated on the panel in the field of view. The reflective alignment markers reflect radiation emitted by the sensor back toward the sensor. A processor is configured to determine an alignment of the sensor with the vehicle coordinate system based on an indication from the sensor regarding radiation reflected by the reflective alignment markers and detected by the sensor.

A driving support control device 10 controls a vehicle 1 in accordance with one driving support mode selected by a driver, and configured to, in a preceding vehicle following mode or an automatic speed control mode as a given driving support mode, execute control of causing the vehicle 1 to travel at a target speed, and further configured to detect an obstacle, and set a speed distribution zone 40 defining a distribution zone of an allowable upper limit V.sub.lim of a relative speed of the vehicle 1 with respect to the obstacle, and to execute obstacle avoidance control of preventing the relative speed from exceeding V.sub.lim, wherein the driving support control device 10 is operable, when the target speed is being restricted by the obstacle avoidance control, to prohibit a driving support mode transition.

The disclosure relates to a sensor carrier as a mechanical connection of a sensor to a component of a motor vehicle. The sensor carrier has a sensor section to fix the sensor to the sensor carrier, at least one component section to fix the sensor carrier to the component, and at least one intermediate section that connects the sensor section to the at least one component section. The sensor carrier is composed, at least in the intermediate section, of an inherently rigid cellular material, the cavities of cellular material are arranged regularly, at least in some sections, specifically in such a way that, starting from a defined minimum force, the material of the sensor carrier in the intermediate section is intrinsically more deformable in at least one direction than in other directions.

Methods and systems are disclosed for determining sensor degradation by actively controlling an autonomous vehicle. Determining sensor degradation may include obtaining sensor readings from a sensor of an autonomous vehicle, and determining baseline state information from the obtained sensor readings. A movement characteristic of the autonomous vehicle, such as speed or position, may then be changed. The sensor may then obtain additional sensor readings, and second state information may be determined from these additional sensor readings. Expected state information may be determined from the baseline state information and the change in the movement characteristic of the autonomous vehicle. A comparison of the expected state information and the second state information may then be performed. Based on this comparison, a determination may be made as to whether the sensor has degraded.

In one aspect, a system for controlling the operation of an agricultural implement may include a ground-engaging tool configured to engage soil within a field such that the tool creates a field material cloud aft of the tool as the implement is moved across the field. Furthermore, the system may include an imaging device configured to capture image data associated with the field material cloud created by the ground-engaging tool. Moreover, a controller of the disclosed system may be configured to identify a plurality of field material units within the field material cloud based on the image data captured by the imaging device. Additionally, the controller may be configured to determine a characteristic associated with the identified plurality of field material units.

In one aspect, a system for controlling the operation of an agricultural implement may include a ground-engaging tool configured to engage soil within a field such that the tool creates a field material cloud aft of the tool as the implement is moved across the field. Furthermore, the system may include an imaging device configured to capture image data associated with the field material cloud created by the ground-engaging tool. Moreover, a controller of the disclosed system may be configured to identify a plurality of field material units within the field material cloud based on the image data captured by the imaging device. Additionally, the controller may be configured to determine a characteristic associated with the identified plurality of field material units.