Abstract: The present disclosure relates to a method performed by a body parameters supporting system of a vehicle for supporting obtaining body parameters of a person. The body parameters supporting system determines—with input from one or more surrounding detecting sensors adapted to capture a surrounding exterior of the vehicle—one or more body parameters capturing conditions for a person present outside the vehicle. The body parameters supporting system further communicates one or more instruction signals indicating one or more body motion and/or obstruction removal instructions, wherein the one or more instruction signals are determined in consideration of counteracting, changing and/or overcoming at least one of the one or more body parameters capturing conditions. The disclosure also relates to a body parameters supporting system in accordance with the foregoing, and a vehicle comprising such a body parameters supporting system.

Abstract: Embodiments are disclosed for ground plane estimation (GPE) using a LiDAR semantic network. In an embodiment, a method comprises: obtaining a point cloud from a depth sensor of a vehicle operating in an environment; encoding the point cloud; estimating, using a deep learning network with the encoded point cloud as input, a ground plane in the environment; planning a path through the environment based on a drivable area of the estimated ground plane; and operating the vehicle, the vehicle along the path. The deep learning network includes a two-dimensional (2D) convolutional backbone, a detection head for detecting objects and a GPE head for estimating the ground plane. In an embodiment, point pillars are used to encode the point cloud.

Abstract: Control system and method for managing transport of vehicles in a warehouse. A network of cameras provide coverage over the route way network by capturing images and sending image data to a central control unit which processes the images and generates signals to control the movement of robot slaves. The control system also includes a calibration mechanism to calibrate a map of the network of routes and an obstruction matrix function. The robot slaves include a safety override mechanism to control the robot slaves autonomously and independently in case of detecting an obstacle or an unexpected hazard in a path of its movement along a route of the warehouse network.

Abstract: A guidance apparatus for an autonomous vehicle and a method therefor are provided. The guidance apparatus includes a first guidance device that guides a passenger in the autonomous vehicle through first response information, a second guidance device that guides a rescuer outside the autonomous vehicle through second response information, and a controller that controls guidance on the first response information and guidance on the second response information, when abnormality occurs in the autonomous vehicle.

Abstract: A host vehicle including a plurality of sensors communicably coupled to the host vehicle. Additionally, the host vehicle includes processing circuitry configured to map-match a location of the host vehicle while the host vehicle is operating on a highway, receive obstruction information from the plurality of sensors, the plurality of sensors having a predetermined field of view corresponding to a host vehicle field of view, estimate a driver field of view based on the host vehicle field of view, determine whether a speed of the host vehicle is safe based on the driver field of view and the obstruction information, and modify driver operation in response to a determination that the speed of the host vehicle is not safe based on the driver field of view.

Abstract: Disclosures herein may be directed to a method, technique, or apparatus directed to a computer-assisted or autonomous driving (CA/AD) vehicle that includes a system controller, disposed in a first CA/AD vehicle, to manage a collaborative three-dimensional (3-D) map of an environment around the first CA/AD vehicle, wherein the system controller is to receive, from another CA/AD vehicle proximate to the first CA/AD vehicle, an indication of at least a portion of another 3-D map of another environment around both the first CA/AD vehicle and the another CA/AD vehicle and incorporate the at least the portion of the 3-D map proximate to the first CA/AD vehicle and the another CA/AD vehicle into the 3-D map of the environment of the first CA/AD vehicle managed by the system controller.

Abstract: Methods and devices for actively modifying a field of view of an autonomous vehicle in view of constraints are disclosed. In one embodiment, an example method is disclosed that includes causing a sensor in an autonomous vehicle to sense information about an environment in a first field of view, where a portion of the environment is obscured in the first field of view. The example method further includes determining a desired field of view in which the portion of the environment is not obscured and, based on the desired field of view and a set of constraints for the vehicle, determining a second field of view in which the portion of the environment is less obscured than in the first field of view. The example method further includes modifying a position of the vehicle, thereby causing the sensor to sense information in the second field of view.

Abstract: A parking assist system includes a control device configured to control screen display of a display device, to set a parking position candidate selected by an occupant as a target parking position, and to control an autonomous parking operation to autonomously move the vehicle to the target parking position. When a number of the parking position candidates detected by a parking position candidate detector exceeds a predetermined upper limit number, the control device selects, from among the detected parking position candidates, the upper limit number of parking position candidates to be displayed on the display device according to a predetermined rule and causes the display device to display the parking position candidates that have been selected.

Abstract: A system for detecting and mitigating an unsafe condition in a vehicle includes an image sensor configured to generate and output image data of one or more seats in a cabin of the vehicle and a processing system operably connected to the image sensor and including at least one processor. The processing system is configured to receive the image data from the image sensor, process the image data to determine a location of at least one passenger in the cabin, detect that the at least one passenger is located outside of the one or more seats based on the determined location of the at least one passenger in the cabin, and operate at least one component of the vehicle in a predefined manner in response to detecting that the at least one passenger is located outside of the one or more seats.

Abstract: Control system and method for managing transport of vehicles in a warehouse. A network of cameras provide coverage over the route way network by capturing images and sending image data to a central control unit which processes the images and generates signals to control the movement of robot slaves. The control system also includes a calibration mechanism to calibrate a map of the network of routes and an obstruction matrix function. The robot slaves include a safety override mechanism to control the robot slaves autonomously and independently in case of detecting an obstacle or an unexpected hazard in a path of its movement along a route of the warehouse network.

Abstract: In a network of autonomous or semi-autonomous vehicles, an alert may be triggered when one of the vehicles switches from autonomous to manual mode. The alert may be communicated to nearby autonomous vehicles so that drivers of those vehicles may become aware of a potentially unpredictable manual driver nearby. Drivers of autonomous vehicles who may have become disengaged (e.g., sleeping, reading, talking, etc.) during autonomous driving may become re-engaged upon noticing the alert. A re-engaged driver may choose to switch his/her own vehicle from autonomous to manual mode in order to appropriately react to an unpredictable nearby manual driver. In additional or alternative embodiments, the alert may be triggered or intensified when indications of impairment of a nearby driver or malfunction of a nearby vehicle are detected.

Abstract: A method, which can be implemented by a control unit, for carrying out a localization of at least one vehicle by a vehicle-side control unit includes receiving measuring data from at least one sensor, ascertaining at least one marking from the measuring data, and associating the ascertained marking with a marking entered into a digital map for determining a position.

Abstract: Embodiments of the present disclosure include automated guided vehicles (AGVs) having a broadcasting system. In one embodiment, the self-driving system includes a body having one or more motorized wheels, a console coupled in an upright position to an end of the body, and a broadcasting system disposed at the console and is operable to send a notification to one or more mobile devices, wherein the broadcasting system uses a first type of positioning system and the one or more mobile devices use a second type of positioning system different from the first type of positioning system.

Abstract: The disclosed subject matter relates to an Intelligent Transportation System (ITS) service station, comprising: a receiver configured to receive, from one or more sensors, information on a set of road users perceived by the sensors, wherein said road user information includes, for each road user in the set, a respective geographical position determined by the sensors; a controller connected to the receiver and configured to determine, on the basis of said geographical positions, whether a subset of road users in said set meets a predetermined criterion of mutual proximity; and a transmitter connected to the controller and configured to transmit, when said subset comprises two or more road users, a service message indicative of said subset.

Abstract: Disclosed are a vehicle, a server communicating with the vehicle, and a method for controlling the vehicle to communicate with the server and a second vehicle. The vehicle may include a communicator configured to communicate with the server and the second vehicle; a storage configured to store an application for a group driving mode with the second vehicle; and a controller configured to control the application when the group driving mode is selected and to exchange compensation for a service corresponding to the group driving mode with digital assets through the server.

Abstract: A vehicle control device is a vehicle control device mountable in a vehicle and including an acquirer configured to acquire positional information of a frame line of a second parking frame from other vehicle stopped at the second parking frame adjacent to a first parking frame at which the vehicle automatically parks, and a calculator configured to calculate a position of a frame line of the first parking frame on the basis of the positional information of the frame line of the second parking frame acquired by the acquirer.

Abstract: In one embodiment, a computing system of a vehicle may receive perception data associated with a scenario encountered by a vehicle while operating in an autonomous driving mode. The system may identify the scenario based at least on the perception data. The system may generate a performance metric associated with a vehicle navigation plan to navigate the vehicle in accordance with the identified scenario. In response to a determination that the performance metric associated with the vehicle navigation plan fails to satisfy one or more criteria for navigating the vehicle in accordance with the identified scenario, the system may trigger a disengagement operation related to disengaging the vehicle from the autonomous driving mode. The system may generate a disengagement record associated with the triggered disengagement operation. The disengagement record may include information associated with the identified scenario encountered by the vehicle related to the disengagement operation.

Abstract: Systems and methods are provided for generating data indicative of a friction associated with a driving surface, and for using the friction data in association with one or more vehicles. In one example, a computing system can detect a stop associated with a vehicle and initiate a steering action of the vehicle during the stop. The steering action is associated with movement of at least one tire of the vehicle relative to a driving surface. The computing system can obtain operational data associated with the steering action during the stop of the vehicle. The computing system can determine a friction associated with the driving surface based at least in part on the operational data associated with the steering action. The computing system can generate data indicative of the friction associated with the driving surface.

Abstract: A system includes one or more processors. The one or more processors are configured to receive crossing obstruction information from an optical sensor disposed proximate a crossing of a route traversed by a vehicle, with the crossing obstruction information indicating a presence of an obstruction to the crossing; obtain position information indicating a position of the vehicle traversing the route; determine proximity information of the vehicle indicating proximity of the vehicle to the crossing using the position information; determine a presence or absence of an alert state indicating a potential of the crossing being obstructed using the crossing obstruction information and the proximity information; and perform a responsive activity based responsive to a determination of the presence of the alert state.

Abstract: A traffic signal analysis system for an autonomous vehicle (AV) can receive image data from one or more cameras, the image data including an upcoming traffic signaling system located at an intersection. The system can determine an action for the AV through the intersection and access a matching signal map specific to the upcoming traffic signaling system. Using the matching signal map, the system can generate a signal template for the upcoming traffic signaling system and determine a first subset and a second subset of the plurality of traffic signal faces that apply to the action. The system can dynamically analyze the first subset and the second subset to determine a state of the upcoming traffic signaling system for the action, and generate an output for the AV indicating the state of the upcoming traffic signaling system for the action.