Abstract: A line laser module, including: a module body; a first image capturing assembly, provided at the module body and comprising a first camera, at least one laser emitter and a first image processing module, wherein the at least one laser emitter is provided adjacent to the first camera and configured to emit a line laser with a linear projection toward outside of the module body, the first camera is configured to capture a first environment image containing the line laser, and the first image processing module is configured to acquire obstacle distance information based on the first environment image; and a second image capturing assembly, comprising a second camera and a second image processing module, wherein the second camera is configured to capture a second environment image, and the second image processing module is configured to acquire obstacle type information based on the second environment image.

Abstract: The invention addresses the problem of providing a work vehicle that can prevent mistakes and confusion in primary settings even when a plurality of operators each operate a remote operation terminal. This work vehicle (crane 1) comprises a work device 40 that is operable using a remote operation terminal 13, wherein a primary setting of the work device 40 can be changed with the remote operation terminal 13 and when one of the plurality of remote operation terminals 13 changes a primary setting, the change is reflected in the other remote operation terminals 13.

Abstract: Apparatuses, storage media and methods associated with computer assisted driving (CAD), are disclosed herein. In some embodiments, an apparatus includes an autopilot engine to automatically pilot the vehicle out of a potential emergency situation, including to automatically pilot the vehicle for a period of time in view of a plurality of operational guardrails determined in real time for each of a plurality of timing windows; and a mitigation unit to conditionally activate the autopilot engine, including to activate the autopilot engine in response to analysis results indicative of the vehicle being potentially operated into the emergency situation manually. Other embodiments are also described and claimed.

Abstract: A dynamic loose vehicle formation method based on real-time online navigation map, which belongs to the field of vehicle formation technologies. The method includes a driver inputs travel information of a destination and waypoints in a GIS app; the GIS app uploads the travel information to a GIS server; the driver chooses to join a recommended formation or create a formation in the GIS app; when the driver chooses the formation and joins the formation, the formation information is displayed on the GIS app interface and sent to other vehicles within the formation for information interaction; when the driver chooses to leave the formation and leaves the formation, the formation is adjusted and the GIS server updates the formation information.

Abstract: A vehicle can connect to multiple networks and can determine network parameters (e.g., available bandwidth, latency, signal strength, etc.) associated with the multiple networks. Additionally, the vehicle can access network map data associated with the multiple networks. As the vehicle traverses an environment, the vehicle can collect sensor data of the environment and/or vehicle data (e.g., vehicle pose, diagnostic data, etc.). Based on the network parameters and the network map data, the vehicle can optimize the use of the networks determine portions of the sensor data and/or vehicle data to transmit via the one or more of the multiple networks.

Abstract: A map generation apparatus including a detection device that detects an external situation around a subject vehicle, and an electronic control unit including a microprocessor and a memory. The microprocessor is configured to perform generating a first map for a current lane on which a subject vehicle travels, based on the external situation detected by the detection device, and acquiring a map information on an opposite lane map for an opposite lane generated by another vehicle traveling on the opposite lane opposite to the current lane. The microprocessor is configured to perform the generating further including generating a second map for the current lane corresponding to a point where the map information on the opposite lane map has been acquired, by inverting the opposite lane map.

Abstract: An event scheduling system for collecting image data related to one or more events by one or more autonomous vehicles includes a centralized scheduling system in wireless communication with one or more autonomous vehicles. Each autonomous vehicle collects the image data related to the one or more events while following a unique travel schedule. The centralized scheduling system executes instructions to determine the unique travel schedule for a specific autonomous vehicle, where the unique travel schedule directs the specific autonomous vehicle to the specific location of the filtered event to collect the image data.

Abstract: An information processing device according to the present disclosure includes an acquisition unit that acquires an arrangement of a landmark and surrounding terrain data, a first estimation unit that estimates a range in which a self-position is located on a basis of a landmark map that is a map indicating the arrangement of the landmark, and a second estimation unit that estimates the self-position from the range in which the self-position is located on a basis of a terrain data map that is a map indicating the surrounding terrain data.

Abstract: A method, apparatus and computer program product are provided to automatically detect changes in width of road segments in real-time or near real-time using probe data, such as probe data collected from vehicle and/or mobile devices traveling along a road segment. Probe data collected in real-time or near real-time is partitioned in order to identify width-defining portions of the probe data. The width-defining portions may be representative of the laterally-extreme lanes of the road segment, such as the left-most lane and the right-most lane. The width-defining portions are compared to corresponding width-defining portions of historical probe data to determine measures indicative of whether a road segment has expanded or narrowed. Indications of detected segment width changes may be provided to drivers and/or other systems or users. For example, map data for the road segment may be updated to reflect a detected width expansion or narrowing of the road segment.

Abstract: A map generation device according to one embodiment includes a reception unit that receives probe data transmitted from at least one vehicle and indicating a feature detected in vehicle surroundings by an environment monitoring sensor incorporated in the vehicle, and the device creates or updates map data based on the probe data received by the reception unit. The map generation device includes: a characteristic determination unit that determines whether the probe data includes sufficient characteristic information usable for alignment with other probe data or map data; and a combining unit that joins a target probe data set including an insufficient amount of characteristic information to the probe data previous or subsequent to the target probe data set in consecutive probe data sets acquired from the same travel of the same vehicle.

Abstract: A map generation apparatus generating a map for use in acquiring a position of a subject vehicle. The map generation apparatus includes: an in-vehicle detection unit configured to detect a situation around a subject vehicle in traveling; a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform: extracting one or more feature points from a detection data acquired by the in-vehicle detection unit; generating a map with the feature points extracted from the detection data in the extracting; recognizing a landmark on the map generated in the generating; determining an importance of the landmark recognized in the recognizing; and correcting a number of the feature points included in the map generated in the generating, based on the importance determined in the determining.

Abstract: Systems, methods, and computer-readable media are described for radar-based object discovery and airspace data collection and management. In some examples, a data service system deploys radars across geographic areas based on a respective radar detection range of the radars and a coverage parameter for the geographic areas, wherein each of the radars is configured to detect object parameters within the respective radar detection range. The data service system collects the object parameters from the radars, determines weather conditions and/or airspace regulations associated with the geographic areas, and models airspace conditions for the geographic areas based on the object parameters and the weather conditions and/or airspace regulations.

Abstract: An autonomous work system comprises a plurality of autonomous work machines. The plurality of autonomous work machines each comprises: a distance specifying unit configured to specify a distance to another autonomous work machine based on image information obtained by imaging surroundings; and a communication unit configured to receive a GNSS signal of a self-machine, and GNSS signal information that has been acquired based on a GNSS signal that has been received by the another autonomous work machine and position information of the another autonomous work machine; and a position specifying unit configured to specify a self-position in a self-work area, based on the position information of the another autonomous work machine and a distance to the another autonomous work machine.

Abstract: Data representing a set of predicted trajectories and a planned trajectory for an autonomous vehicle is obtained. A predictability score for the planned trajectory can be determined based on a comparison of the planned trajectory to the set of predicted trajectories for the autonomous vehicle. The predictability score indicates a level of predictability of the planned trajectory. A determination can be made, based at least on the predictability score, whether to initiate travel with the autonomous vehicle along the planned trajectory. In response to determining to initiate travel with the autonomous vehicle along the planned trajectory, a control system can be directed to maneuver the autonomous vehicle along the planned trajectory.

Abstract: Apparatuses and methods for determining a route are provided. In some examples, the method comprises: receiving measurements of one or more motion sensors of a mobile device disposed in a vehicle; selecting, based on a start time and an end time of a first route, a subset of the measurements; determining, based on the subset of the measurements, turns or stops made by the vehicle as part of the first route and their directions; determining, based on the subset of the measurements, distances of path segments traveled by the vehicle between the turns or stops; constructing an estimated route including a sequence of the turns or stops and path segments; selecting, based on comparing the estimated route and a plurality of candidates routes from a map, the first route; and displaying the map including the first route.

Abstract: In some embodiments, methods and systems are provided that provide for monitoring and controlling communication capabilities of unmanned transport vehicles that via one or more intermediate communication devices that provide relay communications between the unmanned transport vehicles and a control station device when the unmanned transport vehicles travel through areas where the network quality does not permit direct communication between the unmanned transport vehicles and the control station device.

Abstract: A traveling route determination system of this disclosure includes a processor configured to operate so as to determine, by using a second route cost different from a first route cost that is used for determining a first traveling route for a first automated driving vehicle allocated with a demand of an on-demand mobility service, a second traveling route for a second automated driving vehicle not allocated with the demand.

Abstract: A system for mapping traffic lights and for determining traffic light relevancy for use in autonomous vehicle navigation. The system may include at least one processor programmed to: receive at least one location identifier associated with a traffic light; receive a state identifier associated with the traffic light; receive navigational information indicative of one or more aspects of motion of the first vehicle along the road segment, and determine, based on the navigational information, a lane of travel traversed by the first vehicle along the road segment. The processor may also determine whether the traffic light is relevant to the lane of travel traversed by the first vehicle; update an autonomous vehicle road navigation model relative to the road segment; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

Abstract: Techniques for determining map data for localizing a vehicle in an environment are discussed herein. A vehicle can capture sensor data such as image data and can detect objects in the sensor data. Detected objects can include semantic object such as traffic lights, lane lines, street signs, poles, and the like. Rays based on a pose of the sensor and the detected objects can be determined. Intersections between the rays can be determined. The intersections can be utilized to determine candidate landmarks in the environment. The candidate landmarks can be utilized to determine landmarks and to eliminate other candidate landmarks. The map data can be determined based on the three-dimensional locations and utilized to localize vehicles.

Abstract: The present disclosure discloses a navigation method, a device, and a medium. The method includes: planning candidate routes based on a start position and an end position of a user, and obtaining a sequence of candidate road sections in each candidate route; matching each candidate road section in the sequence of candidate road sections in each candidate route with an association relationship between an actual road section and actual road auxiliary information, to obtain a sequence of auxiliary information of each candidate route; and sorting the auxiliary information in the sequence of auxiliary information of each candidate route to obtain a sorted result corresponding each candidate route, and selecting target road auxiliary information from the sequence of auxiliary information of each candidate route based on the sorted result, so as to select a target route from the candidate routes based on the target road auxiliary information.