G05D2111/32

TEST DEVICE AND METHOD FOR REMOTE CONTROL PARKING

Disclosed is a test device and method for remote control parking, falling within the technical field of testing. The method provided by the present disclosure includes the following steps: responding to a remote control parking instruction sent by a portable terminal, and acquiring position and pose data of a vehicle in real-time; injecting function loss conditions; determining a stopping position of the vehicle according to the position and pose data if an alarm signal or a parking success signal sent by an in-vehicle infotainment system is received; and determining a test result of remote control parking according to the stopping position of the vehicle and the function loss conditions. The present disclosure is used to test the response of a vehicle parking under the function loss condition.

SAFETY SYSTEM FOR THE LOCALIZATION OF AT LEAST TWO VEHICLES AND METHOD OF LOCALIZING AT LEAST TWO VEHICLES
20250078663 · 2025-03-06 ·

A safety system and a method for the localization of at least two vehicles have at least one control and evaluation unit and at least one radio location system. The radio location system has at least three arranged radio stations. At least one device has at least one radio transponder arranged at the vehicles. The radio location system is configured to determine position data of the radio transponder and thus to determine position data of the vehicles. The position data can be transmitted from the radio station of the radio location system to the control and evaluation unit and/or the position data can be transmitted from the radio transponder to the control and evaluation unit. The control and evaluation unit is configured to cyclically detect the position data of the radio transponder. The radio transponder has an identification and the control and evaluation unit is configured to distinguish the vehicles.

DYNAMIC MACHINE AUTOMATION PLANNING SYSTEM
20250123634 · 2025-04-17 ·

A dynamic machine automation planning system that facilitates active machine mission planning. The system may flexibly modify mission plans for a plurality of machines associated with a project, including to facilitate fleet participation changes to add or remove machines during an active project. When replanning, the system may evaluate active completion status and select uncompleted sections for reassignment during a modification. Revised mission plans may be developed for one or more of the active machines based on system evaluation and user guidance.

DYNAMIC OCCUPANCY GRID ARCHITECTURE

Techniques are provided for utilizing a dynamic occupancy grid (DoG) for tracking objects proximate to an autonomous or semi-autonomous vehicle. An example method for generating an object track list in a vehicle includes obtaining sensor information from one or more sensors on the vehicle, determining a first set of object data based at least in part on the sensor information and an object recognition process, generating a dynamic grid based on an environment proximate to the vehicle based at least in part on the sensor information, determining a second set of object data based at least in part on the dynamic grid, and outputting the object track list based on a fusion of the first set of object data and the second set of object data.

MOBILE OBJECT CONTROL DEVICE, MOBILE OBJECT CONTROL SYSTEM, AUTOMATED TRANSPORTATION SYSTEM, AND MOBILE OBJECT CONTROL METHOD

The mobile object control device includes: a prescribed path information acquisition unit which acquires prescribed path information; an obstacle information acquisition unit which acquires obstacle information; a position orientation information acquisition unit which acquires position orientation information; and a traveling path determination unit which judges whether or not a vehicle is traveling on a prescribed path, and judges whether or not there is a possibility that the vehicle collides with an obstacle, and then, if it is judged that there is the possibility of the collision, determines whether or not to cause the vehicle to travel on a prescribed-path-outside traveling path.

SENSOR MEASUREMENT GRID COMPLEXITY MANAGEMENT

Techniques are provide for generating occupancy grids based on inputs from multiple heterogeneous sensors. An example method for generating an occupancy grid includes obtaining detection information from a plurality of heterogeneous sensors, generating a single measurement grid based on the detection information from the plurality of heterogeneous sensors, determining occupancy probabilities for a plurality of cells in the single measurement grid, and outputting the occupancy grid based at least in part on the occupancy probabilities.

NAVIGATION SYSTEM AND METHOD INCLUDING AN AUTONOMOUS INTELLIGENT MOTORIZED AUDIBLE NAVIGATION CART
20250138554 · 2025-05-01 ·

A navigation system and method including an autonomous intelligent motorized audible navigation cart. The audible and intelligent features of the navigation system can be accomplished using a combination of artificial intelligence and speech recognition technology. The navigation system can be used to help the visually impaired person navigate a store for locating products.

MODULAR VEHICLE MANAGEMENT SYSTEM

A modular vehicle management system includes a vehicle management board configured to interface with any of a plurality of vehicle-specific boards. The vehicle management board includes connectors configured to receive operational data from a vehicle-specific board and to send control data to the vehicle-specific board. The vehicle management board includes processors configured to receive the operational data, generate the control data, and send the control data to the vehicle specific board. The vehicle-specific board includes connectors configured to interface with computing devices, connectors configured to interface with the connectors on the vehicle management board to convey operational data and receive control data, and connectors configured to interface with controllers of the vehicle.

Operating a drone device based on capture instructions determined from social network information
12298786 · 2025-05-13 · ·

One technique for operating a drone device to capture an image based on capture instructions comprises receiving capture instructions determined from social graph information from a social network, the capture instructions identifying one or more subject faces corresponding to one or more social network users identified in the social graph information; and capturing an image including the one or more subject faces based on the capture instructions. Another technique for operating a drone device to capture an image based on capture instructions comprises receiving capture instructions determined from social graph information from a social network, the capture instructions identifying geographic locations of one or more social network users identified in the social graph information; and capturing an image at a geographic location of the geographic locations included in the capture instructions.

Mobility system and server

A mobile object is configured to transmit, in response to a gesture of a traffic participant existing in the vicinity of the mobile object being a stop request, an inquiry signal including position information of the traffic participant to a server in order to confirm whether the mobile object provides a specific service to which the traffic participant who has performed the gesture is subscribed. The server is configured to determine, in response to receiving the inquiry signal, whether the traffic participant who made the gesture is one of users subscribed to the specific service and transmit an answer signal including a result of the determination to the mobile object. The mobile object is further configured to perform, in response to receiving the answer signal, an action according to a result of the determination included in the answer signal.