Abstract: A control system and method of performing an inspection event on a vehicle includes identifying a type of energy used to power one or more components of the vehicle; and from plural different test preset settings, selecting at least one selected setting based at least in part on the type of energy that is identified. One or more control settings of the vehicle are changed based on the at least one selected setting to energize at least one component of a propulsion system of the vehicle at a first level of energization. One or more first characteristics of one or more systems of the vehicle are obtained responsive to the energizing of the at least one component at the first level of energization. A condition or operating readiness level of the vehicle is determined based at least in part on the one or more first characteristics.

Abstract: A processing method, which is executed by a processor for performing processing related to driving control of a host vehicle, includes: acquiring detection information indicating a state detected in a traveling environment of the host vehicle; setting a safety envelope, wherein the setting of the safety envelope includes defining a boundary, a margin, or a buffer area around the host vehicle; and monitoring a violation of the safety envelope based on a comparison of the safety envelope and a positional relationship between the host vehicle and a target vehicle. When the target vehicle is a front vehicle and the host vehicle is a rear vehicle, the safety envelope is calculated based on a velocity and a maximum deceleration of the front vehicle, and a velocity, a maximum acceleration, and a minimum deceleration of the rear vehicle. The minimum deceleration of the rear vehicle is set to be equal to or less than the maximum deceleration of the front vehicle.

Abstract: A method and a system for controlling an electric bicycle are provided, and the method for controlling a vehicle for collision avoidance according to an embodiment of the present disclosure comprises: recognizing a front vehicle ahead of an ego vehicle; determining a collision risk between the ego vehicle and the front vehicle; determining a degree of a driver's attentiveness of the ego vehicle; determining whether deceleration of the ego vehicle is required; determining whether the collision risk, the degree of the driver's attentiveness, and whether the deceleration is required satisfy predetermined conditions; and if said predetermined conditions are satisfied, operating a driver assistance function.

Abstract: An article accommodation unit which can be attached to an article supply device, comprises a main body capable of accommodating articles in a state where the articles are laminated; an operation portion provided in the main body; and a lock portion provided in the main body and capable of locking the operation portion so as not to perform a certain operation, wherein the lock portion is configured so as to be able to release a lock of the operation portion on condition that the article accommodation unit is attached to the article supply device.

Abstract: Provided is an arithmetic processing device capable of switching a setting of an image processing unit according to a situation while suppressing an increase in cost and power consumption.

Abstract: Provided is a vehicle control device that uses a target inter-vehicle distance corresponding to a vehicle in front with respect to a travel lane of an ego-vehicle to enable safe travel while securing an inter-vehicle distance that reduces the level of fear the user is made to feel. The vehicle control device 60 calculates the travel lane area (A) of the ego-vehicle mirroring the area (the preceding vehicle blocking area (B) and the viewing angle blocking area (C)) blocked by the vehicle (preceding vehicle) which is in front of the ego-vehicle and the speed of the ego-vehicle, in the area (the travel lane area (A)) of the lane on which the ego-vehicle travels detected by the sensor, and in a case where the calculated travel lane area (A) of the ego-vehicle is equal to or less than a threshold value, performs vehicle control to adjust the inter-vehicle distance between the ego-vehicle and the vehicle in front, thereby enabling vehicle control while reducing the level of fear the user is made to feel.

Abstract: System and methods are disclosed for navigating a host vehicle. In one implementation, at least one processing device may be programmed to receive a plurality of images representative of an environment of the host vehicle, identify, in at least one of the plurality of images a representation of, a target vehicle, determine a separation distance between the host vehicle and the target vehicle, if the separation distance is less than a comfort distance threshold, cause a reduction in a throttle level associated with a throttle system of the host vehicle without activating a braking system associated with the host vehicle, and if the separation distance is determined to be greater than but trending toward a safe distance threshold, which is less than the comfort distance threshold, cause activation of the braking system associated with the host vehicle.

Abstract: An underwater robot and a control method therefor. The underwater robot includes a robot main body, wherein a dirt suction port is provided at bottom of the robot main body, a first water outlet is provided on top of the robot main body in communication with the dirt suction port, a second water outlet is further provided at bottom of the robot main body in communication with the first water outlet, and the second water outlet is located on a side of the dirt suction port close to a front end; and a water-pumping mechanism and an escape mechanism provided in the robot main body. By means of the underwater robot and the control method therefor, the obstacle crossing capability of the underwater robot is improved.

Abstract: A vehicle automatic deceleration control device includes a driver imaging camera as a driver state detection device that detects a state of a driver and a control unit that automatically decelerates a vehicle at a predetermined deceleration to stop the vehicle by controlling a brake device when the driver is detected to be in a state in which the driver is unsuitable for driving. The control unit is configured to determine whether a road on which the vehicle is traveling is a motorway, set the predetermined deceleration to a first deceleration when the road is determined to be the motorway, and set the predetermined deceleration to a second deceleration that is higher than the first deceleration when the road is determined not to be the motorway.

Abstract: An unmanned aerial vehicle aerial vehicle and a localization method for an unmanned aerial vehicle aerial vehicle are described. In an embodiment, an unmanned aerial vehicle comprises: a first ultra-wide band node; a second ultra-wide band node; and a localization processor configured to use signals received at the first ultra-wide band node and the second ultra-wide band node from a plurality of anchor nodes located within an environment to estimate a pose state of the unmanned aerial vehicle, wherein the first ultra-wide band node and the second ultra-wide band node are arranged on the unmanned aerial vehicle at positions offset from one another.

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.