Abstract: A cart system for inventory management can include a cart frame including a base, a handle to control movement of the cart frame, a stationary shelf, and a movable shelf disposed above the stationary shelf. The movable shelf is movable in a path of travel vertically overhead of the stationary shelf to change a volume underneath the movable shelf to stack items over each other within the volume and supported by the stationary shelf. A height adjustor can be configured to lower or raise the movable shelf in a vertical direction to an ergonomic height for loading the items and a storage height to store the items while creating sufficient volume below the movable shelf loading the items on the stationary shelf. A cart controller can be configured to receive a height input, and control the height adjustor based on the height input.

Abstract: An information processing apparatus acquires control-related information that includes dynamically changing environment information used for control of a movable apparatus, and adjusts, based on the acquired control-related information, a traveling rule that is followed by the movable apparatus. In addition, the information processing apparatus controls driving of the movable apparatus based on travel control information including the adjusted traveling rule. The control-related information includes, for example, map information, behavioral information of the movable apparatus, behavioral information of an obstacle, movable apparatus-specific information, road surface configuration information, traveling history information, and the like.

Abstract: The disclosure relates generally to symbiotic warning methods and systems to warn nearby target actors while driving for collision avoidance. Current ADAS systems are limited in assisting only the driver of the host vehicle in the potential dangers. The present disclosure identifies various driving scenarios and gives necessary warning to the target vehicles, pedestrians, and animals around the host vehicle. A symbiotic warning method involves receiving one or more road contextual parameters to create a 360-degree scene perception of road surroundings of a host vehicle, with one or more actors. Then, estimating one or more 3-dimensional (3-D) scene semantics of each of the one or more actors and detecting one or more priority actors those lead to probable collisions. Further, deciding to generate a symbiotic warning signal, to one or more priority actors, and generating the symbiotic warning signal to one or more priority actors those lead to probable collisions.

Abstract: A system and method for traffic signal violation risk assessment for a vehicle. The system includes a sensor such as a front camera module (FCM) configured to capture an image in a field of view forward the vehicle; a vehicle communications system configured for at least one of vehicle-to-infrastructure (V2I) communications and telematic communications with an infrastructure unit, wherein the infrastructure unit is capable of providing intersection information; and a traffic signal violation risk assessment (TSVR) module in communication with the FCM and the vehicle communications system. The TSVR module analyzes the captured image to determine an intersection, a traffic light at the intersection, and a traffic light current state (TLCS); collect intersection information from the infrastructure unit, and determine a risk of traffic signal violation based on the information and implement a physical action to mitigate the risk.

Abstract: Disclosed herein are systems and methods for determining vehicle downtime. In one embodiment, such a method comprises operating at least one processor to: receive telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; identify, using the telematics data, an unpowered trip completed by at least one vehicle of the plurality of vehicles; identify each unpowered trip completed by the at least one vehicle that is a tow trip; identify, for each vehicle that completed a tow trip, a first powered trip completed prior to the tow trip and a second powered trip completed after the tow trip; and determine, for each vehicle that completed a tow trip, a vehicle downtime based at least in part on a time difference between an end time of the first powered trip and an start time of the second powered trip.

Abstract: An ego vehicle includes a controller configured to obtain a maneuver message from a first remote vehicle, which includes a negotiation request related to a maneuver to be performed by the first remote vehicle, determine a degree of conflict based on a position and a velocity of the ego vehicle, and driving information of the first remote vehicle, determine whether to accept the negotiation request based on the degree of conflict, send a maneuver message including an alternative suggestion to the first remote vehicle in response to determining to reject the negotiation request, and control the ego vehicle based on a negotiation result.

Abstract: A driver assistance apparatus including a camera configured to obtain image data with a forward field of view of a host vehicle; a radar configured to obtain radar data with a sensing field of view in the vicinity of the host vehicle; and a controller electrically connected to the camera and the radar, wherein the controller detects a preceding vehicle traveling in front of the host vehicle based on the image data and the radar data, performs adaptive cruise control (ACC) to maintain a target inter-vehicle distance between the host vehicle and the preceding vehicle, identifies a lateral deviation of the preceding vehicle relative to the host vehicle while performing ACC; and calibrates the target inter-vehicle distance between the host vehicle and the preceding vehicle based on the lateral deviation of the preceding vehicle.

Abstract: The invention relates to a system and method for navigating an autonomous driving vehicle (ADV) that utilizes ADV an-onboard computer and/or one or more ADV control system nodes in an ADV network platform. The on-board computer receives sensor data concerning one or more occupants occupying an ADV and/or the ADV itself and, upon a detection of an event, automatically initiates a dynamic routing algorithm that utilizes artificial intelligence to re-route the ADV to another destination, for example a healthcare facility. One or more embodiment of the system and method include an ADV on-board computer and/or one or more ADV network platform nodes that utilize in-memory processing to aid in the generation of routing, health and navigational information to advantageously navigate an ADV.

Abstract: Certain aspects of the disclosure pertain intrusion-based collision avoidance. A bounding box can be generated to capture the size and position of an object in a traffic lane comprising a left lane line and a right lane line. A metric is computed based on one or more vertices of the bounding box that capture the extent to which the object intrudes on the lane. The vertices can be projected to the lane lines, and a distance computed between a vertex and a projection. Ratios can be determined for vertices based on distances that capture the positioning relative to lane width. The ratios can be analyzed and utilized as a basis for the metric. The metric can then be compared with at least one threshold. A collision avoidance response can be triggered if the metric satisfies the threshold.

Abstract: Embodiments of the disclosure provide for model-based generation of corrective actions for remediating an abnormal event. Some embodiments cause rendering of a graphical user interface (GUI) via a computing device, where the GUI comprises a ranking of a plurality of corrective actions associated with at least one abnormal event. In some embodiments, the ranking of the plurality of corrective actions is obtained from a model that establishes mappings between the at least one predefined abnormal event and historical data. Some embodiments receive, from the computing device, feedback data via the GUI, the feedback data indicating a successfulness of resolution associated with implementing at least one of the plurality of corrective actions. Some embodiments update the model to improve a scoring of the at least one predefined abnormal event based at least in part on the feedback data.

Abstract: Systems and methods for enhancing safety during motorcycle lane-splitting or lane filtering by using a camera to capture images of adjacent vehicles and a processor to analyze these images to predict vehicle trajectories. The systems and methods disclosed predict future vehicle trajectories, calculates potential distances, and issues a warning if the anticipated separation between vehicles falls below a predefined safety threshold, thereby signaling unsafe conditions for lane splitting.

Abstract: The present disclosure provides a method for operating an autonomous mobile device and a storage medium. The method includes: performing re-localization for the autonomous mobile device; detecting a first feature of an identifier; calculating a first relative location of an object having the identifier relative to the autonomous mobile device; calculating, based on the first relative location and a real time location of the autonomous mobile device, a current global location of the object; retrieving a prior global location of a charging station; comparing the current global location and the prior global location; when a difference between the current global location and the prior global location is greater than or equal to a predetermined difference threshold: detecting a second feature of the object and determining whether the object is the charging station; when the object is the charging station, setting a temporary restricted zone.

Abstract: A method for calculating an optimum route for a first vehicle to travel from a current location to a selected parking space includes receiving map data of a parking zone, the map data including local map data and global map data of the parking zone, sensor data, parking space data indicating availability of parking spaces within the parking zone, and vehicle dynamics and location data, selecting, as the selected parking space, at least one available parking space based on the parking space data, determining a plurality of target positions between the current location and the selected parking space, calculating, in response to the selecting of the selected parking space and based on the plurality of target positions, the optimum route, including calculating trajectories of the first vehicle along an entire route between the current location and the selected parking space, and controlling the first vehicle to travel from the current location to the selected parking space.

Abstract: Systems and methods for controlling vehicle energy efficiency are provided. The system may comprise an ADAS, a navigation sensor configured to collect navigation data, and an electric drive cooling system, comprising a powertrain controller, comprising a processor and a memory, one or more electric motors (EMs), one or more power electronics (PEs), and a temperature control system. The processor may be configured to determine a vehicle route, dissect the route into a plurality of segments, calculate a travel time for each segment, divide the travel time into a number of prediction steps, forming a prediction horizon, establish one or more road conditions, estimate EM motor speed and torque, and estimate a temperature profile for the EMs and PEs across the prediction horizon, and determine one or more control inputs to cause the one or more EMs and the one or more PEs to function within a desired temperature range.

Abstract: A method for operating a motor vehicle. A deviation of a current driving position of a driver of the motor vehicle from an expected reference driving position of the driver is determined, and the motor vehicle is controlled depending on the determined deviation.

Abstract: A method for coordinating drones flying in a divided airspace that includes sending patrol instructions to each drone of a set of airborne drones in a divided airspace, where the divided airspace includes mutually exclusive horizontal layers having a ceiling altitude and a floor altitude and at least one transition space layer, where the layers comprise sectors, where the patrol instructions direct the drone into a flight path in a sector, sending first transition instructions to a first drone, where the transition instructions direct the first drone to move from its sector to a transition space layer and from the transition space layer to exit the divided airspace, sending second transition instructions to a second drone, where the second transition instructions direct the second drone to move from outside the divided airspace to a transition space layer and from the transition space layer to the sector of the first drone.

Abstract: An anti-collision longitudinal self-adaptive adjusting system includes a host vehicle, an external environment sensing module, a cabin internal status sensing module and a controller. A self-adaptive deceleration command calculating unit calculates a self-adaptive deceleration command at least according to a maximum deceleration threshold, a seatbelt dataset and a passenger standing dataset and calculates a suspension damper command according to the self-adaptive deceleration command. A self-adaptive deceleration command output unit calculates a braking point distance at least according to a system operating delay time and the self-adaptive deceleration command so as to obtain a brake start-till-stop time.

Abstract: A method of using a mobile device as a dashboard of a motorcycle and a motorcycle using the method are provided. The motorcycle includes a body, an electronic control unit (ECU), a protocol converter, and a transceiver. The body includes a steering wheel, and the steering wheel includes a placement space for disposing a mobile device. The ECU is installed in the body and outputs a first signal via a first protocol. The protocol converter is installed in the body and coupled to the ECU. The protocol converter converts the first signal from the first protocol to a second protocol so as to generate a second signal, and the second protocol is different from the first protocol. The transceiver is installed in the body and coupled to the protocol converter. The transceiver transmits the second signal to the mobile device in the placement space.

Abstract: A method for controlling motion parameters of a pepper harvester based on combination of point clouds and images, including: (1) performing space-time calibration on a radar and a camera, constructing a data collection platform, and pre-processing image and point cloud data; (2) acquiring a real-time number of pepper in front of a harvester and an average height from canopies of pepper plants to soil through a point cloud, acquiring a cutting width and a pepper fruit proportion in front of the harvester through an image, and acquiring a comprehensive lowermost location of pepper fruits by combination of the point cloud and the image; (3) acquiring real-time motion parameters of the pepper harvester; and (4) controlling a real-time rotation speed, operation speed, and height of a drum using a fuzzy PID control method based on the comprehensive lowermost location of the pepper fruits and a predicted value of a feeding quantity.

Abstract: A driving control apparatus for a vehicle includes a surrounding environment recognition device, a brake control device, a drive force control device, and a control unit. The surrounding environment recognition device obtains surrounding environment information of the vehicle. The brake control device performs brake control for the vehicle. The drive force control device performs drive control of front wheels and rear wheels individually. The control unit at least includes a rough road area entry determiner which executes a determination of entry of the vehicle into a rough road area and a road surface ? estimator which estimates a friction coefficient of a wheel contact surface. The control unit executes first avoidance control and then second avoidance control when the vehicle is found to enter an area where it is likely to be stuck in the rough road area based on a determination result of the rough road area entry determiner.