Provided herein is a system and method that acquires data and determines a driving action based on the data. The system comprises a sensor, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform, determining data of interest comprising an object, feature, or region of interest, determining whether a sharpness of the data of interest exceeds a threshold, in response to determining that the sharpness does not exceed a threshold, operating the sensor to increase the sharpness of the data of interest until the sharpness exceeds the threshold, in response to the sharpness exceeding the threshold, determining a driving action of a vehicle based on the data of interest, and performing the driving action

Various embodiments provide for platooning control via accurate synchronization that will not result in string instability. Some embodiments provide a distributed control scheme for platoon motion control that provides a decentralized implementation of the leader information controller. These control techniques are able to manage the performance of the string of vehicles by maintaining a desired spacing distance between any two successive vehicles in the presence of communications induced delays. In order to regulate the spacing between a vehicle and its predecessor in the string, every vehicle (with the exception of the leader vehicle) uses the relative distance from itself to its predecessor (e.g., as measured using a laser ranging sensor) and a control signal of the predecessor (e.g., received via a wireless link). Various embodiments are capable of dealing with non-homogeneous strings of vehicles and non identical controllers for each vehicle in the string.

Vehicles may be composed of a relatively few number of “modules” that are assembled together during a final assembly process. An example vehicle may include a body module, a first drive module coupled to a first end of the body module, and a second drive module coupled to a second end of the body module. One or both of the drive modules may include a pair of wheels, a battery, an electric drive motor, and/or a heating ventilation and air conditioning (HVAC) system. One or both of the drive modules may also include a crash structure to absorb impacts. If a component of a drive module fails or is damaged, the drive module can be quickly and easily replaced with a new drive module, minimizing vehicle down time.

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 vehicle driving assist apparatus includes an first calculator to calculate a degree of acceleration suppression, a controller to suppress target acceleration based on the degree of acceleration suppression, a map information storage to store road map information, an estimator to estimate a vehicle position and identify a traveling lane on the road map information, a detector to detect whether there is a crossing road ahead of the identified traveling lane, and a second calculator to calculate an azimuth angle difference between an azimuth of the crossing road where the own vehicle is about to turn and an azimuth in the traveling direction of the own vehicle. The acceleration suppression degree calculator makes a degree of acceleration suppression for suppressing the acceleration of the own vehicle higher then an azimuth angle difference becomes narrower based on the azimuth angle difference.

According to one example, a system for control of a movement of a working vehicle within a work area is disclosed. The system can optionally include a steering system configured to direct the movement of the working vehicle, an object detection system, as speed sensor, and a controller. The object detection system can have one or more sensors configured to detect an object within the work area. The speed sensor can be configured to measure a speed of the working vehicle over a surface within the work area. The controller can be communicatively coupled to the steering system, the object detection system and the speed sensor. The controller can be configured to control the speed of the working vehicle based upon a steering angle of the working vehicle.

A control device for a mobile object includes a recognizer capable of recognizing a situation in a periphery of a mobile object, and a controller configured to control acceleration or deceleration of the mobile object based on the recognized situation in the periphery, and, when (1) there is a first obstacle that makes it difficult to recognize a situation on an opposite side in recognition of the situation in an extending direction of a road, (2) an end of the first obstacle is recognized and the first obstacle extends a first predetermined distance forward from the end, and (3) there is no second obstacle that makes it difficult to recognize the situation on the opposite side over a second predetermined distance on a traveling direction side of the mobile object from the end, the controller sets a risk area at a reference position based on the end of the first obstacle, and controls at least a speed of the mobile object based on the set risk area.

An avoidance modifier system may be configured to modify operation of a collision avoidance system associated with a machine. The avoidance modifier system may include at least one inclination sensor and a modifier system controller configured to be in communication with the collision avoidance system. The modifier system controller may be configured to receive an inclination signal from the inclination sensor and determine an inclination angle at which the machine is operating relative to level operation. The modifier system controller may be configured to determine an adjusted ground plane angle indicative of a virtual ground plane on which the machine is operating, and communicate with the collision avoidance system, such that the collision avoidance system does not activate a braking device of the machine in response to an object sensor generating an object signal indicative of detection of an object between an actual ground plane and the virtual ground plane.

A device for setting a target vehicle that sets a target vehicle to be subjected to driving assistance control of a host vehicle includes: a detection signal acquisition device capable of acquiring a first detection signal representing an object by an image, and a second detection signal representing the object by a reflection point; and setting control unit, which determines whether to set a forward object as a target vehicle, wherein if a movement history is not associated with the forward object, and a combination history is associated with the forward object, then as a selection threshold of a first determination parameter for determining whether to set the forward object as the target vehicle, a selection threshold is used such that the forward object is less likely to be selected as the target vehicle than with the selection threshold which would be used if a movement history is associated with the forward object.

The present disclosure relates to adaptive cruise control in the field of automatic driving, and discloses a vehicle control method, an apparatus, an electronic device and a storage medium. A specific implementation is: firstly, determining a target travelling scenario according to real-time monitoring data upon fulfilment of a preset update condition; then, determining a target time headway according to the target travelling scenario, where the target time headway is used to dynamically adjust a relative motion state between an host vehicle and a surrounding vehicle; and finally, controlling a vehicle according to the target time headway. It solves the problem of the prior art in overemphasizing the state of the vehicle ahead for automatic driving control while overlooking the perception of the driver or passenger of the host vehicle in the travelling scenario can prompt the driver to manually intervene, compromising the experience of the automatic driving.