Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: receiving a first surface value associated with a first road surface area in an upcoming environment of the vehicle; receiving a second surface value associated with a second road surface area in the upcoming environment of the vehicle; determining a change in surface value based on the first surface value and the second surface value; and in response to the change in surface value being greater than a threshold, adapting at least one of vehicle collision warning messages, vehicle braking control, vehicle steering control, and path planning based on the second surface value.

The systems and methods described herein disclose detecting obstacles in a vehicular environment using host vehicle input and associated trust levels. As described here, measured vehicles, either manual or autonomous, that detect an obstacle in the environment will operate to respond to the obstacle. As such, those movements can be used to determine if an obstacle exists in the environment, even if the obstacle cannot be detected directly. The systems and methods can include a host vehicle receiving prediction data about an evasive behavior from one or more measured vehicles in a vehicular environment. A trust level can then be established for the measured vehicles. An obscured obstacle can be determined using the evasive behavior and the trust level which can then be mapped in the vehicular environment. A guidance input can then be created for the host vehicle using the obscured obstacle and the trust level.

A vehicle control device includes a recognizer that is configured to recognize a peripheral situation of a vehicle and a driving controller that is configured to execute automated driving for controlling a speed and steering of the vehicle on the basis of a recognition result of the recognizer. The recognizer is configured to recognize a real-time environment including a situation of a nearby vehicle or a situation of a nearby road on which the vehicle travels, and the driving controller is configured to shunt the vehicle to a shunt location to suspend the automated driving in a case where the real-time environment corresponds to a predetermined condition, and resume the automated driving in a case where the predetermined condition is resolved after the shunt.

A method of controlling operation of a vehicle includes monitoring at least one of a location and a route of the vehicle when the vehicle is in a first operating state, receiving map data related to an area around at least one of the location and the route, and identifying, based on the map data, one or more map attributes indicative of one or more features of the area. The method also includes comparing the one or more map attributes to at least one reference attribute, and based on the one or more map attributes matching the at least one reference attribute, causing the vehicle to enter a second operating state when the vehicle is in the area.

A vehicle power supply system includes a vehicle power supply apparatus including a processor. When a disaster by which foreign matter might be deposited on a road occurs, the processor preferentially performs power supply to a road maintenance vehicle configured to perform maintenance on the road.

A vehicle provided with an electric motor configured for outputting warning through torque control of the motor and a method of outputting warning for the same, may include: recognizing, by a controller, a stop point or a deceleration section where a pause or deceleration of the vehicle is required or recommended; setting, by the controller, a virtual road surface facility based on the stop point or a start point of the deceleration section; outputting, by the controller, information on a set position of the set virtual facility or a distance remaining from the vehicle to the set position; and implementing, by the controller, driving feeling passing through the set virtual road surface facility as a pitching motion of the vehicle using a torque control of the electric motor according to a vehicle speed when the electric vehicle passes the set position.

Systems, devices, products, apparatuses, and/or methods for identifying a speed bump for an autonomous vehicle on a roadway by determining at least one beginning location in the one or more subsets of the plurality of subsets associated with a greatest positive change or a greatest negative change in the one or more parameters and at least one ending location in the one or more subsets of the plurality of subsets associated with the other of the greatest positive change or the greatest negative change in the one or more parameters, and identifying at least one bump or depression in the roadway based on the at least one beginning location and the at least one ending location.

A method for controlling a vehicle is provided. The vehicle includes an image capturing device. The method includes: controlling the image capturing device to collect an image of a scene where the vehicle is located; acquiring projection information of a projection pattern in the image; determining image-altering information corresponding to the projection pattern according to the projection information; and controlling movement of the vehicle according to the image-altering information.

Autonomous driving of a vehicle in which computerized perception by the vehicle, including of its environment and of itself (e.g., its egomotion), is used to autonomously drive the vehicle and, additionally, can also be used to provide feedback to enhance performance, safety, and/or other attributes of autonomous driving of the vehicle (e.g., when certain conditions affecting the vehicle are determined to exist by detecting patterns in or otherwise analyzing what is perceived by the vehicle), such as by adjusting autonomous driving of the vehicle, conveying messages regarding the vehicle, and/or performing other actions concerning the vehicle.

A vehicle may determine that erratic vehicle behavior has been sensed, based on comparison of a sensed vehicle behavioral characteristic at a given location compared to a predefined expected value of the characteristic. The vehicle may further determine whether an environmental anomaly has been detected in association with the given location and classify the sensed erratic behavior based on whether the environmental anomaly was detected. Responsive to classifying the behavior as erratic based on determining no environmental anomaly was detected, the vehicle may report the erratic behavior to a remote server, along with the given location. The remote server may receive a plurality of such reports for a given location and update a classification of the behavior based on data indicated in the plurality of reports.