Volvo Autonomous Solutions Patente

A computer system (700) comprising a processing circuitry (702) configured to handle a work site (100) where a plurality of autonomous vehicles (1) operate is provided.The processing circuitry (702) is configured to obtain work site information indicative of a current state of the work site (100). The processing circuitry (702) is configured to receive a natural language request for one or more tasks to be performed in the work site (100) by the plurality of vehicles (1). The processing circuitry (702) is configured to interpret from the natural language request, by using a machine learning model a request to perform the one or more tasks. The processing circuitry (702) is configured to, based on the interpreted request and the work site information, establish an action plan for the plurality of vehicles (1) to perform the one or more tasks.

The disclosure relates to a computer system (600) for handling configurations for an at least partly autonomous vehicle (100), the computer system (600) comprising processing circuitry (602) configured to: - at vehicle startup, determine a current geographical zone in which the vehicle (100) is currently located; - compare the current geographical zone with a last known geographical zone to determine if the current geographical zone is part of the last known geographical zone or not; - obtain a new vehicle configuration for the current geographical zone when the current geographical zone is not part of the last known geographical zone; and to - determine whether or not to update the vehicle (100) with the new vehicle configuration for the current geographical zone.

A computer system (600) comprising processing circuitry (602) configured to detect a tire pressure defect of a vehicle (1) comprising a first wheel (11) is provided. The first wheel (11) comprises a first rim (31) and a first tire (41). The processing circuitry (602) is configured to obtain first image data indicative of the first wheel (11) and a ground surface area in contact with the first tire (41). The processing circuitry (602) is configured to, based on the first image data, establish a first reference value representing a first distance (d1) between the first rim (31) and the ground surface area in contact with the first tire (41). The processing circuitry (602) is configured to, based on the established first reference value, detecting whether or not the first tire (41) has a tire pressure defect.

A computer system (100) for automated identification of locations of struggle during attempted route-following for autonomous vehicles (12) is provided, and includes processing circuitry configured to: obtain data (130) indicative of at least geographical position for one or more autonomous vehicles when attempting to follow a predefined route trajectory (140); detect, based on the data, a location along the route trajectory at which the vehicles appear more likely to deviate from/struggle to follow the trajectory, and, in response to the detection, i) issue a notification of the detected location to an operator (152), and/or ii) automatically update the trajectory (140) based on the data to improve trajectory-following/reduce the struggle to follow. A corresponding method, computer program product and storage medium are also provided.

A method of verifying a position of a vehicle (12) using a vehicle-mounted device, the method comprising generating first position data (304, 404, 504, 604) for the vehicle-mounted device responsive to receiving (302, 402, 502, 602) data from a transponder-based localization system (18), generating second position data (308, 408, 518, 618) for the vehicle-mounted device responsive to receiving (306, 406,516, 616) data from another localization system (20); and reporting (316, 422, 520, 626) verified vehicle position data for the vehicle, based on a comparison (310, 410, 520, 620) of the data from the other localization system with the data from the transponder-based localization system for the vehicle-mounted device.

The present disclosure relates to a computer system (100) for controlling a vehicle (10, 10a) relative to at least one adjacent vehicle (10, 10b) operating within a confined geographical area (200), the computer system comprising processing circuitry (102) configured to: determine a position, speed and trajectory of the at least one adjacent vehicle relative to a position, speed and trajectory of the vehicle; determine that a first collision (80) between the vehicle and the at least one adjacent vehicle is imminent based on the determined position, speed and trajectory of the at least one adjacent vehicle relative to the position, speed and trajectory of the vehicle; predict an impact level of the first collision on the vehicle, the impact level being indicative of a predicted effect of the first collision on the vehicle; determine at least one alternative trajectory for the vehicle based on the predicted impact level and any predicted potential secondary collision between the vehicle and at least one object (lOc); and control the vehicle based on the determined at least one alternative trajectory.

A computer system (100) for automated assigning of transport missions to electric vehicles of a vehicle fleet (130) is provided, and configured to: for each (120-i) of a plurality of transport missions (120), obtain an expected degradation (ΔSoH_i) of an energy storage system, ESS, (132-j) of a vehicle (130-j) if completing the mission; based on the obtained expected degradations, categorize each of the transport missions into one of several categories (C_i ∈ {C₁, C₂, ..., C_K}) of different expected degradation; for each vehicle and for each category (C_k), obtain an indication of a number (M_n,k) of missions belonging to the category and previously assigned to the vehicle, and based on said indications, assign the transport missions to the vehicles such that differences in numbers of missions of each category assigned to each vehicle, and/or in sums of expected degradations for all missions performed by each vehicle, are reduced or eliminated over time.

The present disclosure relates to a computer system and a computer implemented method. The method comprises: - identifying (S1) an upcoming braking event, - obtaining (S2) driving condition information comprising information about an inclination of the slope (500), and vehicle information comprising information about a current vehicle weight, - determining (S3) a set of braking torque levels to be delivered by the braking system (200) during the upcoming braking event, based on the driving condition information, wherein: o in response to identifying that the inclination of the slope (500) is higher than an inclination threshold level, determining (S4) at least two braking torque levels for the set of braking torque levels, the two braking torque levels comprising a mild braking torque level and a hard braking torque level being higher than the mild braking torque level, wherein the hard braking torque level is intended to be applied after the mild braking torque level, - issuing braking information to the braking system (200) to brake the vehicle (100) on the basis of the determined set of braking torque levels during the upcoming braking event.

In an aspect, a computer system (29) is provided and configured to control loading of material (40) from a silo (30) onto a vehicle (10, 20). The computer system comprises processing circuitry (26) configured to control (S 101) a first vehicle (10) to drive according to a first speed profile (S 1) for attaining a target weight (W) of the material (40) being discharged from the silo (30) into a loading space (15) of the first vehicle (10), acquire (S102) an indication of a weight (W1) of the material (40) loaded into the loading space (15) of the first vehicle (10), and to control (S103) a second vehicle (20) to drive according to a second speed profile (S2) for attaining the target weight (W) of the material (40) being discharged from the silo (30) into a loading space (25) of the second vehicle (20), the second speed profile (S2) being adapted to the first speed profile (S 1) such that time spent under the silo (30) for the second vehicle (20) is shorter than for the first vehicle (10) if the weight (W1) of the material (40) loaded onto the first vehicle (10) indicates that the target weight (W) was exceeded or such that time spent under the silo (30) for the second vehicle (20) is longer than for the first vehicle (10) if the weight (W1) of the material (40) loaded onto the first vehicle (10) indicates that the target weight (W) was not reached.

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A computer system (100) comprising processing circuitry (110) is presented. The processing circuitry (110) is configured to obtain map data (260) for route planning within a confined off-road area (1) and obtain, based on sensor data (13') of a first off-road vehicle (10), position data (212) and size data (214) of a first obstacle (5) within the confined off-road area (1). The processing circuitry (110) is further configured to obtain, based on engagement of the first obstacle (5) by a work attachment (15) of the first off-road vehicle (10), classification data (225) of the first obstacle (5), and determine a first required traction capability (231) for traversing the first obstacle (5) based on the size data (214) and the classification data (225). The processing circuitry (110) is further configured to update the map data (260) with the position data (212), size data (214) and the first required traction capability (231) for traversing the first obstacle (5).

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A method of planning trajectories for vehicles operating in a common environment, wherein movements of each vehicle are controllable by a control signal, comprising:for each vehicle, obtaining (1312) a predefined vehicle path to be traversed;performing a first computation (1314) to obtain a vehicle crossing order O at each mutually exclusive - MUTEX - zone between two vehicle paths, wherein the first computation is subject to safety constraints; andperforming trajectory planning (1320) subject to the obtained vehicle crossing order at the MUTEX zones, to obtain a control signal for each of the vehicles,the method further comprising assigning (1316) a dependency metric to each pair of vehicles, and partitioning (1318) the vehicles into a number N_SG of vehicle subsets such that the dependency metric exceeds a threshold within each,wherein the trajectory planning is performed as multiple independent subproblems (1320-1, ..., 1320-N_SG), each relating to one of the vehicle subsets.

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A computer-implemented traffic planning method (100) for controlling a plurality of vehicles which are movable among multiple shared resources, comprising: receiving (no) a transport mission; generating (112) a root node representing an initial resource occupancy of the vehicles; sequentially generating (114) a search tree from the root node, in which each edge represents a motion command and each node represents a resource occupancy, wherein each node is associated with a score including an anticipated reward for fulfilling the transport mission; identifying (116) a target node with an acceptable score; and deriving (118) a planned sequence of motion commands corresponding to a path to the target node, wherein: child nodes of a leaf node are generated (114.4) subject to a tree-expansion criterion (114.2); a reward is assigned (114.6) to a child node if the transport mission is fulfilled; and an anticipated value of the assigned reward is added (114.8) to all parent nodes.

The disclosure relates to a computer-implemented method of assessing vehicle trajectories for deadlock scenarios in a site where multiple vehicles operate by following planned vehicle trajectories (A-G). The site includes at least one traffic-constrained area (SL) via which at least two of the multiple vehicles passes when following their planned trajectories. The disclosure also relates to a traffic planner for planning a plurality of planned vehicle trajectories for vehicles within a site having at least one traffic-constrained location.

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