Volvo Autonomous Solutions

A computer system (600) is disclosed comprising processing circuitry (602) configured to control vehicle speed (v) of a first vehicle (1) travelling in an area (A), the processing circuitry (602) being configured to: - obtain data about speed (v1, v2, v3, v4) of at least one movable object (MV1-MV4) in the area (A), - obtain data about a maximum allowed relative speed (v<max, rel>) between the first vehicle (1) and the at least one movable object (MV1-MV4), - set a maximum allowed vehicle speed (v<max>) of the first vehicle (1) based on a difference between the maximum allowed relative speed (v<max, rel>) and the speed (v1, v2, v3, v4) of the at least one movable object (MV1-MV4), and - control the vehicle speed (v) of the first vehicle (1) based on the maximum allowed vehicle speed (v<max>) of the first vehicle (1). A vehicle and a method are also disclosed.

A computer system (700) comprising processing circuitry (702) being configured to be in a site operating mode (56) for controlling the operation on a site (10; 10a, 10b) comprising at least one automated vehicle (30) and a site operator (40) is provided. The processing circuitry (702) is configured, in a site operating mode (56), to receive, from a requester (44), a restriction request (62), set the at least one automated vehicle (30) in the restricted mode (32) based on said restriction request (62), receive, from the requester (44), a resume request (64), in response to the resume request (64) receive, from the site operator (40), a resume instruction (68), and set the at least one automated vehicle (30) in a non-restricted mode (34) at least based on the resume instruction (68).

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.

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.

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 (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.