Abstract: A system, including: a communication interface operable to receive sensor data related to a state of an object; object state estimation processor circuitry operable to estimate, based on the sensor data, a prospective probability of a degradation of the state of the object; and cobot fleet control processor circuitry operable to generate a command for either a transport cobot operable to transport the object, or another actor, to take proactive action to mitigate the prospective probability of the degradation of the state of the object.

Abstract: An apparatus including a memory and a processor configured to: identify an item located within the environment based on sensor data, wherein the sensor data represents one or more sensor detections of the environment; determine a metric representative of a likelihood of the item becoming lost the within the environment based on information about the item; and select, based on the metric, at least one monitoring method to monitor the item within the environment from a plurality of monitoring methods.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed that compile portable code for specific hardware are disclosed herein that include an apparatus including computer readable instructions, and programmable circuitry to at least one of execute or instantiate the instructions to receive input code, the input code written for operation on a first platform, determine a target platform, the target platform different than the first platform, and translate, via an artificial intelligence (AI) model, the input code to output code, the output code written for operation on the target platform.

Abstract: Disclosed herein are systems, devices, and methods for monitoring and improving utilization of a public transport vehicle. The transport control system determines an in-vehicle status of a passenger transport vehicle based on in-vehicle sensor data about an interior of the passenger transport vehicle. The transport control system also determines a station status at a station stop for the passenger transport vehicle based on station sensor data about the station stop. The transport control system also determines a situational status based on the in-vehicle status and the station status. The transport control system also generates a notification message with movement control information for the passenger transport vehicle or for a passenger, wherein the movement control information is based on the situational status.

Abstract: A sensor calibrator comprising one or more processors configured to receive sensor data representing a calibration pattern detected by a sensor during a period of relative motion between the sensor and the calibration pattern in which the sensor or the calibration pattern move along a linear path of travel; determine a calibration adjustment from the plurality of images; and send a calibration instruction for calibration of the sensor according to the determined calibration adjustment. Alternatively, a sensor calibration detection device, comprising one or more processors, configured to receive first sensor data detected during movement of a first sensor along a route of travel; determine a difference between the first sensor data and stored second sensor data; and if the difference is outside of a predetermined range, switch from a first operational mode to a second operational mode.

Abstract: The present disclosure is generally related to connected vehicles, computer-assisted and/or autonomous driving vehicles, Internet of Vehicles (IoV), Intelligent Transportation Systems (ITS), and Vehicle-to-Everything (V2X) technologies, and in particular, to technologies and techniques of a road usage monitoring (RUM) service for monitoring road usage of electric vehicles. The RUM service can be implemented or operated by individual electric vehicles, infrastructure nodes, edge compute nodes, cloud computing services, electric vehicle supply equipment, and/or combinations thereof. Additional RUM aspects may be described and/or claimed.

Abstract: Various systems and methods for controlling a vehicle using driving policies are described herein.

Abstract: Aspects concern a method for controlling a braking of a vehicle. The method including detecting a braking situation, determining a classification of the braking situation, selecting a braking profile based on the determined classification, and applying a deceleration based on the selected braking profile to maintain a safety distance based on the selected braking profile.

Abstract: An occupancy grid manager having a non-uniform occupancy which includes a plurality of cells, configurable in a plurality of cell sizes, each cell representing a region of an environment of a vehicle; and one or more processors, configured to determine one or more context factors; select a cell size for a cell of the plurality of cells based on the one or more context factors; process sensor data provided by one or more sensors; and determine a probability that the cell of the plurality of cells is occupied based on the sensor data.

Abstract: Disclosed herein is a device for filtering a point cloud. The device may include processor configured to receive a plurality of sensed points representing distance measurements to points in an area around an entity. The processor may also be configured to determine, for each sensed point of the plurality of sensed points, one or more probabilities that the sensed point is associated with an obstacle in the area around the entity, wherein each probability of the one or more probabilities is based on a corresponding filter of one or more filters. The processor may also be configured to generate a filtered point cloud from the plurality of sensed points based on, for each sensed point, a hierarchical combination of the one or more probabilities.

Abstract: Autonomous unmanned vehicles (UVs) for responding to situations are described. Embodiments include UVs that launch upon detection of a situation, operate in the area of the situation, and collect and send information about the situation. The UVs may launch from a vehicle involved in the situation, a vehicle responding to the situation, or from a fixed station. In other embodiments, the UVs also provide communications relays to the situation and may facilitate access to the situation by responders. The UVs further may act as decoupled sensors for vehicles. In still other embodiments, the collected information may be used to recreate the situation as it happened.

Abstract: In some aspects, a safety system may be configured to receive vehicle position data indicating a position of a vehicle, determine a first lane segment in a lane coordinate system based on the vehicle position data, the first lane segment being a lane segment in which the vehicle is located, determine a relevant set of lane segments based on a safety-range from the first lane segment, determine or receive obstacle position data indicating a second lane segment in the lane coordinate system, the second lane segment being a lane segment in which an obstacle is located, and classify the obstacle either as a non-relevant obstacle in the case that the second lane segment is not included in the relevant set of lane segments, or as a relevant obstacle in the case that the second lane segment is included in the relevant set of lane segments.

Abstract: An apparatus, including an interface configured to receive images with measured distance information of an environment in which an autonomous agent is designed to operate; and processing circuitry that is configured to: generate distance histogram images over time, wherein the distance histogram images include the measured distance information in corresponding picture elements; perform a distribution-based outlier analysis on the distance histogram images to classify each picture element of each of the received images as either an outlier picture element representing a dynamic object or a non-outlier picture element representing a static portion of the environment; and track a dynamic object over time and cause an action by the autonomous agent if it is determined, based on a result of the distribution-based outlier analysis, a distance between the dynamic object and the autonomous agent is less than a predefined distance.

Abstract: One or more processors may be configured to determine one or more prospective routes of an ego vehicle being at least partially controlled by a human driver; receive first sensor data, representing one or more attributes of a second vehicle; determine a danger probability of the one or more prospective routes of the first vehicle using the at least the one or more attributes of the second vehicle from the first sensor data; and if each of the one or more prospective routes of the first vehicle has a danger probability outside of a predetermined range, send a signal representing a safety intervention. Whenever a safety intervention signal is sent, the one or more processors may be configured to increment or decrement a counter.

Abstract: Disclosed herein are systems, devices, and methods for hazard and risk analysis systems that use operational information about an autonomous vehicle in order to continuously determine a hazard and risk analysis of a vehicle and its compliance with safety standards. The hazard and risk analysis system estimates a hazard probability for a vehicle based on operational information about the vehicle, wherein the hazard probability represents a likelihood that the vehicle will experience a driving event over a predefined interval. The hazard and risk analysis also adjusts a driving parameter of the vehicle based on the hazard probability if the hazard probability deviates from a predefined hazard safety criterion.

Abstract: Disclosed herein are devices, methods, and systems for providing virtual towing services from a towing vehicle to a towed vehicle. The device transmits a message indicating an offer to provide virtual towing services to the towed vehicle. The device activates a virtual towing mode based on acceptance of the offer. In the virtual towing mode, the device determines a pathway to a repair destination for the towing vehicle together with towed vehicle. The device determines a waypoint and a speed for the towing vehicle along the pathway based on a joint safety assessment of the towing vehicle and the towed vehicle and controls its movements accordingly. The device determines waypoint information and speed information for the towed vehicle based on a transformation of the waypoint and the speed from a first coordinate system of the towing vehicle to a second coordinate system of the towed vehicle.

Abstract: System and techniques for vehicle occupant monitoring are described herein. Sensor data, that includes visual image data, is obtained from a sensor array of the vehicle. An object carried by the vehicle is detected from the visual image data. A safety event for the vehicle may be identified based on the object detection and an operational element of the vehicle is altered in response to detecting the safety event.

Abstract: An exemplary method includes obtaining vehicle data comprising environmental perception data indicating a risk assessment regarding one or more perceived elements of an environment surrounding a vehicle; obtaining driver perception data regarding a driver inside the vehicle; determining an integrated risk assessment based on the vehicle data and the driver perception data; and determining an Operational Design Doman (ODD) compliance assessment of the vehicle at least based on the determined integrated risk assessment.

Abstract: Techniques are disclosed for the exploration of environments for the estimation and detection of hazards or near hazards within the environment and the mitigation of hazards therein. The exploration of the environment and mitigation of hazards therein may use one or more autonomous agents, including a hazard response robot. The estimation of the hazards may use a policy learning engine, and the hazards may be detected, and the associated risks therefrom, may be determined using a hazard estimation system.

Abstract: Disclosed herein are systems, devices, and methods of a system that may adapt sensing capabilities based on the risk of the situation. The system may determine a risk estimation of an object in a work environment of a robot based on sensor data and a measurement uncertainty of a sensing system configured to collect the sensor data, wherein the sensor data is indicative of the object in the work environment. The system may also, based on the risk estimation, select a next operation mode from a plurality of operation modes for the sensing system.