A method performed by a scenario reconstruction system for supporting assessment of unforeseen driving scenarios of a host vehicle. The scenario reconstruction system stores timestamped sensor data comprising the host vehicle's geographical position and surroundings captured with support from one or more surrounding detecting sensors onboard the host vehicle. The system detects at a scenario time instance, involvement of the host vehicle in an unforeseen driving scenario. Moreover, the scenario reconstruction system derives from the timestamped sensor data, subsets of sensor data and identifies one or more surrounding detecting sensors-provided entities respectively present in the subsets pertinent at least two respective separate timestamps. The system selects at least a first entity out of the identified entities, fulfilling selection criteria and communicates to the at least first selected entity, request data prompting the at least first selected entity to provide stored timestamped sensor data of its surroundings.

The invention relates to a vehicle interactive system and method, a storage medium, and a vehicle. The vehicle interactive system includes: a data acquisition device configured to acquire first data indicating a user intention; a data processing device configured to obtain the user intention based on the first data; and an execution device configured to control a vehicle based on the user intention, where the first data is data about a user line of sight. According to the solutions in one or more embodiments of the invention, processing of information about a user line of sight is combined with vehicle control, so that a user does not need to control an apparatus on a vehicle by hand or voice, thereby having experience of more natural and convenient human-vehicle interaction.

A recognition device includes a processor and a memory storing program instructions executable by the processor. The processor is configured to recognize a visual field range which extends from a viewpoint of a driver of a moving object in a line-of-sight direction and extends at a predetermined angle as moving away from the viewpoint with reference to a detection result of a line-of-sight detection device, recognize a target present in a surrounding environment of the moving object shown within image data on the basis of the image data in which surroundings of the moving object are imaged by a visual sensor disposed in the moving object and set an area of the recognized target in a predetermined shape, and set a plurality of determination points in the area of the target and determine whether or not the driver is recognizing the target on the basis of a degree of overlap between the plurality of determination points and the visual field range.

A method includes an operation to collect radar signals reflected from objects in a field of view. Range-angle-doppler bins representing three-dimensional objects in the field of view are formed. A local median operation is used across a selected dimension of the range-angle-doppler bins to eliminate background noise in the range-angle-doppler bins. Low energy peak regions are masked by removing radial velocity values in the selected dimension to form a sparse range-angle two-dimensional grid. The radar signals reflected from objects in the view of view are processed to extract reflection point detections. Reflection point detections are tracked in accordance with short-term filter rules to form tracked reflection point detections. The tracked reflection point detections are formed into clusters. The clusters are processed with long-term filter rules.

A method and a system for maneuvering vehicles using adjustable ultrasound sensors is disclosed. The method includes determining at least one first position of an object relative to a vehicle using at least one high range sensor and determining for each of at least one first position of the object non-conformance with one or more object position criteria. The method further includes determining at least one second position of object relative to vehicle, when at least one first position of the object is in non-conformance with one or more object position criteria. The method further includes assigning at least one ultrasound sensor to dynamically focus on the object and maneuvering the vehicle on a trajectory plan based on the at least object attribute. Each of plurality of ultrasound sensors is deployed on rotatable mount and assigned at least one ultrasound sensor is dynamically focused by rotating on associated rotatable mount.

In an embodiment, a rearview system detects the present and information regarding one or more second vehicles. The system uses the information regarding the second vehicles to determine whether a collision may occur. In the event of a predictive collision, the system provides the user a warning. In another embodiment, the rearview system presents video data having different fields-of-capture. In another embodiment, the system includes a user interface that includes a display and a haptic pad. The display presents information. The haptic pad enables the user to provide information to the system. A location on the haptic pad corresponds to a location on the display. The user may manipulate the haptic pad to activate icons presented on the display.

Provided is an information processing apparatus that creates map information on the basis of sensor information obtained by an on-vehicle sensor. The information processing apparatus includes a creation section that creates a map of a surrounding area of a mobile body on the basis of sensor information acquired by one or more sensors mounted on the mobile body, a request section that issues an information request to an external apparatus on the basis of a state of the map created by the creation section, and a merge section that merges information acquired by the request section from the external apparatus with the created map. The request section issues an information request to the external apparatus on the basis of a condition of a dead angle included in the map created by the creation section.

A vehicle control device includes a recognition unit which recognizes surrounding situations of a vehicle, and a driving control unit which automatically controls at least steering of the vehicle based on the surrounding situations recognized by the recognition unit, and the driving control unit increases a distance between the vehicle and a traffic participant in the case where the recognition unit recognizes the traffic participant as an overtaking target and a predetermined structure in a traveling direction of the vehicle, and the vehicle travels on a side opposite to the predetermined structure in a road width direction in a case that viewed from the traffic participant to overtake the traffic participant, as compared to a case where the traffic participant as the overtaking target is recognized by the recognition unit in the traveling direction of the vehicle and the predetermined structure is not recognized.

A vehicle driving support device performs extraneous matter notification for notifying an occupant of a vehicle that extraneous matter is adhered to a viewing-angle window part which is a part of a window of the vehicle in a viewing angle range of an onboard camera which is mounted in the vehicle such that an outside view from the vehicle is imaged from the inside of the vehicle or a camera lens which is a lens of the onboard camera, performs a process of detecting the extraneous matter adhering to the viewing-angle window part or the camera lens when the vehicle is stopped, and does not perform the extraneous matter notification even if the extraneous matter adhering to the viewing-angle window part or the camera lens is detected when the vehicle is stopped and is not in a state in which the vehicle is predicted to be about to start traveling.

Disclosed are a vehicle control method and apparatus, a storage medium and an electronic device. The method comprises: acquiring real-time road condition information about a target vehicle; when the real-time road condition information indicates that the target vehicle arrives at the target intersection, acquiring first vehicle state information about the target vehicle in a current travelling state and second vehicle state information about an object vehicle in a region where the target intersection is located in the current travelling state, wherein the object vehicle comprises an environment vehicle passing through the target intersection and a virtual vehicle configured for a current observation field of view of the target vehicle; inputting first vehicle state information and second vehicle state information into a vehicle motion prediction model to obtain a prediction result, wherein the vehicle motion model is used for predicting a driving motion of a vehicle in a next control cycle based on vehicle state information about the vehicle in a current control cycle; controlling the target vehicle to perform the target running action according to the prediction result. The present invention solves the problem in the related art that the control security is relatively low in a vehicle control method.