Abstract: Techniques for analyzing driving scenarios are discussed herein. For example, techniques may include determining a level of exposure associated with scenarios, searching for similar scenarios, and generating new additional scenarios. A driving scenario may be represented as top-down multi-channel data. The top-down multi-channel data may be provided as input to a neural network trained to output a prediction of future events. A multi-dimensional vector representing the scenario can be received as an intermediate output from the neural network and may be stored to represent the scenario. Multi-dimensional vectors representing different scenarios may be stored in a multi-dimensional space, and similar scenarios may be identified by proximity searching of the multi-dimensional space.

Abstract: An autonomous mobile device (AMD) moves in a physical space and uses a dock located at a first pose. Sometimes a user may move the dock. To determine whether the dock has moved, the AMD compares first pose data that was previously obtained while at the dock in the first pose to second pose data, such as after a restart or after leaving the dock. If a difference between the first pose and the second pose is greater than a threshold, the dock has moved. The pose data may be determined using a simultaneous localization and mapping (SLAM) algorithm to process images from cameras on the AMD. Transform data that relates coordinates of the second pose to coordinates of the first pose may be determined. If the dock is used as an origin for a map of the physical space, the transform data may be used to update the map.

Abstract: A device for generating vehicle data-based boarding and alighting point information includes a time series data processor that resamples a plurality of time series data including first speed data of the vehicle based on a preset first time; a GPS data processor that resamples GPS data including second speed data of the vehicle based on a preset second time, a location data deriving device that integrates the time series data and the GPS data based on the first speed data, the second speed data, and DTW algorithm, and obtains location data of the vehicle from the integrated data; a location integrating device that integrates location information of a vehicle boarding point and an alighting point received from a public institution; and an identifier generator that generates a boarding point identifier and an alighting point identifier related to a location of the boarding point and the alighting point, respectively.

Abstract: A robot control system is a robot control system that controls a plurality of mobile robots, in which: each of the mobile robots includes right and left wheels, and a sensor that detects actions of the right and left wheels; and the control system calculates abrasion degrees of right and left components for the right and left wheels, depending on a detection result of the sensor, and manages traveling of the plurality of mobile robots, depending on the abrasion degrees.

Abstract: A map generation apparatus including a microprocessor. The microprocessor is configured to perform recognizing another vehicle traveling on an opposite lane opposite to a current lane on which a subject vehicle travels, acquiring an information of an external situation around the other vehicle in a route matching section when the other vehicle is recognized, the information of the external situation being obtained by the other vehicle traveling on the opposite lane, the route matching section being a section in which a driving route of the subject vehicle and a driving route of the other vehicle match in a driving route including the current lane and the opposite lane, and generating a map for the opposite lane in the route matching section, based on the information of the external situation.

Abstract: A waypoint selection system includes a non-transitory computer readable medium configured to store instructions thereon; and a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for obtaining information related to a current pose of a vehicle; obtaining a plurality of waypoints between the current pose and a destination pose; and receiving obstacle information. The processor is configured to execute the instructions for determining a first waypoint cost for a first waypoint of the plurality of waypoints. The processor is configured to execute the instructions for selecting the first waypoint in response to the first waypoint cost satisfying a predetermined condition. The processor is configured to execute the instructions for outputting the selected first waypoint and all waypoints of the plurality of waypoints between the first waypoint and the current pose to a controller in response to selecting of the first waypoint.

Abstract: A system for detecting and engaging a refuse can includes at least one sensor positioned on a refuse collection vehicle and configured to detect objects on one or more sides of the refuse vehicle, an actuator assembly configured to actuate to engage the refuse can, and a controller configured to detect, using a single-stage object detector, the presence of the refuse can based on first data received from the at least one sensor, determine, based on the first data, a position of the refuse can with respect to the refuse collection vehicle, generate a first trajectory from the refuse collection vehicle to the position of the refuse can, generate a second trajectory for the actuator assembly, and initiate a control action to move at least one of the refuse collection vehicle along the first trajectory or the actuator assembly along the second trajectory to engage the refuse can.

Abstract: An apparatus, method and computer program product provide a map layer of one or more temporary dynamic obstructions. For example, the apparatus is configured to receive vehicle/driver behavior data associated with a vehicle at a portion of a road, determine a likelihood of a temporary dynamic obstruction existing proximate to the portion based on the vehicle behavior data, and update a datapoint of a map layer based on the likelihood. The datapoint indicates a state of existence of the temporary dynamic obstruction at the portion.

Abstract: A system for identifying redundant road lane detections in map data and subsequently updating the map data to remove the redundant road lane detections is provided. The system may be configured to determine, based on sensor data, a plurality of road lane detections associated with a road link represented by the map data. The system is further configured to determine a cluster for the road link based on a clustering criterion. The system is further configured to establish a plurality of road lane detection groups based on connectivity of the road lane detections in the cluster. The plurality of road lane detection groups is evaluated to identify one or more redundant road lane detections based on one or more of a parallel-detection criterion or a heading difference criterion. The identified redundant road lane detections are used to update the map data by a computer-implemented update process.

Abstract: A method for identifying dangerous roads includes: receiving a vehicle dataset and extracting a driving record associated with a travelled road section therefrom; for a road section belonging to one of a plurality of section categories, obtaining a driving record from the vehicle dataset; calculating a driving characteristic dataset based on the driving records that are associated with an identified road section; and determining, whether the identified road section should be deemed as a potential dangerous road section based on at least the driving characteristic dataset and a corresponding one of a plurality of reference datasets that corresponds to one of the plurality of section categories.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that generates lane path descriptors for use by autonomous vehicles. One of the methods includes receiving data that defines valid lane paths in a scene in an environment. Each valid lane path represents a path through the scene that can be traversed by a vehicle. User interface presentation data can be provided to a user device. The user interface can contain: (i) a first display area that displays a first visual representation of the sensor measurement; and (ii) a second display area that displays a second visual representation of the set of valid lane paths. User input modifying the second visual representation of the set of valid lane paths can be received; and in response to receiving the user input, the set of valid lane paths of the scene in the environment can be modified.

Abstract: A remote starting system and method are provided for self-propelled work vehicles having work attachments supported from a main frame thereof. Cameras are arranged with respective fields of vision proximate to the work vehicle, and a communications unit is configured to exchange messages with a user device via a communications network. A local or remote controller is configured to receive first user input comprising a remote startup request for the work vehicle from the user device, and to automatically detect parameters respectively associated with predetermined remote startup conditions, at least one of the parameters comprising images obtained from the cameras. The images are transmitted to the user device, responsive to which second user input is received comprising remote startup confirmation from the user device via the communications network. Responsive to at least the second user input, engine startup is automatically controlled for the work vehicle.

Abstract: A controller determines a travel route from a starting position to a target position in a parking lot and transmits information on at least a section in the travel route to a vehicle, and a monitor monitors the vehicle for a deviation from the travel route during autonomous travel of the vehicle in the section by using a vehicle monitoring system outside the vehicle. When a deviation is detected in the monitoring, the controller determines a correction route for correcting the deviation, and transmits the correction route to the vehicle. When the controller determines that the vehicle cannot travel along the correction route, the controller determines an evacuation route with the current position of the vehicle set to the starting position and a predetermined location set to the target position, and transits the evacuation route to the vehicle such that the vehicle travels along the evacuation route.

Abstract: According to one aspect, a method is provided to determine whether an autonomous system is ready to be deployed or is otherwise ready for use, scene-based metrics, or metrics based on instances of scenarios. Scene-based metrics are mapped, or otherwise translated, to distance-based metrics such that substantially standard distance-based metrics may be used to gate the readiness of an autonomy system for deployment.

Abstract: An example method includes setting an initial pickup location. The method includes causing an autonomous vehicle to navigate towards the initial pickup location. The method includes periodically generating a plurality of candidate updated pickup locations. The method includes selecting a suggested pickup location from the plurality of candidate pickup locations that achieves a benchmark for reducing one or more of a time and a distance associated with the initial pickup location for one or more of the autonomous vehicle and the client device. The method includes determining that the suggested pickup location satisfies a set of pre-update checks for limiting a number of pickup location updates. The method includes responsive to (i) selecting the suggested pickup location, and (ii) determining that the suggested pickup location satisfies the set of pre-update checks, causing the autonomous vehicle to navigate to the suggested pickup location.

Abstract: Embodiments relate to a method and apparatus for controlling a motor vehicle. The method comprises the steps of detecting a first trajectory of a first motor vehicle while traveling a predetermined route; determining a course of the predetermined route based on predetermined map data; determining a quality to which the trajectory and the course correspond; and transmitting the quality to a second motor vehicle. On board a second motor vehicle, a course of a predetermined route may be determined on the basis of predetermined map data; a quality associated with the course may be detected; an environment of the second motor vehicle may be scanned; a second trajectory may be determined by merging the course with the scan; and the second motor vehicle may be controlled to follow the second trajectory.

Abstract: A method includes obtaining, from an operator of a robot, a return execution lease associated with one or more commands for controlling the robot that is scheduled within a sequence of execution leases. The robot is configured to execute commands associated with a current execution lease that is an earliest execution lease in the sequence of execution leases that is not expired. The method includes obtaining an execution lease expiration trigger triggering expiration of the current execution lease. After obtaining the trigger, the method includes determining that the return execution lease is a next current execution lease in the sequence. While the return execution lease is the current execution lease, the method includes executing the one or more commands for controlling the robot associated with the return execution lease which cause the robot to navigate to a return location remote from a current location of the robot.

Abstract: A method for workforce management includes receiving a service request associated with a task area from a user device, and controlling movement of an unmanned aerial machine from a home base to the task area. The unmanned aerial machine acquires evaluation data about the task area. The method also includes determining a task to be performed based on the service request, the task area, and the evaluation data.

Abstract: Techniques for integrating a travel control system and attitude and heading (AHR) system in a vehicle are disclosed. The integrated system includes interface circuitry that enables data communication between constituent travel control system and AHR system of the integrated system, and can further communicate data between the travel control system and/or the AHR system and other system(s) or device(s) in or on the vehicle. In some embodiments, the travel control system includes processing circuitry that is fault tolerant. Alternatively, or additionally, the AHR system may include processing circuitry that has a processing power greater than the travel control system processing circuitry.

Abstract: Techniques for improving the display of markers on a map include pre-computing cells for multiple locations on the map and associating points of interest with the pre-computed cells. In response to a request from a user device to display points of interest for a particular location, stored data specifying the pre-computed cells for the particular location is accessed and, for each of the cells, a point of interest is selected from the points of interests associated with that cell. The user device is caused to display the map with a marker in each of the cells for the selected point of interest.