Abstract: A monitoring system may include a memory having computer-readable instructions stored thereon and a processor operatively coupled to the memory. The processor may read and execute the computer-readable instructions to perform or control performance of operations. The operations may include receive, prior to a collision involving a vehicle, sensor data representative of a feature of an internal environment and determine the collision has occurred. The operations may include automatically instruct, based on the collision, a sensor to generate another sensor data representative of another feature of the internal environment. The operations may include receive the another sensor data from the sensor and compare the sensor data and the another sensor data to accident data corresponding to previous accidents. The accident data may include a diagnosed injury and an accident severity of each of the previous accidents. The operations may include determine a severity of the collision based on the comparison.

Abstract: Mobility-as-a-Service (MaaS) provides technical solutions for technical problems facing this shift toward public and private vehicles for hire, including providing a platform for users to identify and select public transportation and private vehicles for hire. Users may plan and book transportation services through a MaaS platform, such as a smartphone application. Technical solutions described herein include improved identification and selection of a vehicle based on wireless communication, such as using Near-Field Communication (NFC), Bluetooth, Wi-Fi, and other wireless communication.

Abstract: A method for creating an environment model for a service area, wherein within the service area, a service for the infrastructure-based support of an at least partially automated networked motor vehicle is provided. The method includes: dividing the service area into multiple geographic segments; receiving sensor data, which are attributed with geographic coordinates, and assigning the sensor data to at least one geographic segment as a function of the geographic coordinates; assigning a geographic segment to a selected process instance; computing a respective partial environment model for each geographic segment by the process instance assigned to the geographic segment on the basis of the received sensor data (fusion of the sensor data).

Abstract: Various systems and methods for controlling a vehicle using driving policies are described herein.

Abstract: A system for executing functionally equivalent applications. The system includes a cloud system including a plurality of cloud instances, the plurality of cloud instances being set up in each case to execute a functionally equivalent application in each case based on the same input data, the respective execution including a processing of the input data by the respective application in order to output an application result in each case, and a comparison device, which is set up to compare the respective application results in order to ascertain a comparison result and to output the comparison result that has been ascertained. A method for executing functionally equivalent applications, a computer program, and a machine-readable storage medium, are also described.

Abstract: System and techniques for vehicle occupant monitoring are described herein. Sensor data, that includes visual image data, is obtained from a sensor array of the vehicle. An object carried by the vehicle is detected from the visual image data. A safety event for the vehicle may be identified based on the object detection and an operational element of the vehicle is altered in response to detecting the safety event.

Abstract: Disclosed herein are systems, devices, and methods of a system that may adapt sensing capabilities based on the risk of the situation. The system may determine a risk estimation of an object in a work environment of a robot based on sensor data and a measurement uncertainty of a sensing system configured to collect the sensor data, wherein the sensor data is indicative of the object in the work environment. The system may also, based on the risk estimation, select a next operation mode from a plurality of operation modes for the sensing system.

Abstract: A computing device, including: a memory configured to store computer-readable instructions; and processing circuitry configured to execute the computer-readable instructions to cause the computing device to: generate an environmental condition model (ECM) based on collected environmental attribute data of a physical environment; deploy the ECM to estimate environmental risk for an autonomous agent based on the environmental attribute data and a position of the autonomous agent within the physical environment; and transmit information related to the estimated environmental risk to the autonomous agent to adapt its operation to reduce operational risk.

Abstract: Systems and techniques for controlling a mobile robot. In an example, the system may include a processor and memory, including instructions, which when executed by the processor, cause the processor to determine a state of the mobile robot. The state of the mobile robot may be determined using at least one of: data provided by the mobile robot or data captured by one or more sensors proximate to or attached to the mobile robot. The system may determine a state of an object proximate to the mobile robot using the data captured by the one or more sensors, and identify information relating to one or more available stopping points. The system may identify a condition of the mobile robot that requires the mobile robot to stop and issue a command to the mobile robot to navigate to a particular one of the one or more available stopping points.

Abstract: Disclosed herein are systems, devices, and methods of a safety system for analyzing and improving the safety of collaborative environments in which a robot may interact a human. The safety system may determine a monitored attribute of a person within an operating environment of a robot, where the monitored attribute may be based on received sensor information about the person in the operating environment. In addition, the safety system may determine a risk score for the person based on the monitored attribute. The risk score may be defined by (1) a collision probability that the person will cause an interference during a planned operation of the robot and (2) a severity level associated with the interference. The safety system may also generate a mitigating instruction for the robot if the risk score exceeds a threshold level.

Abstract: Disclosed herein are systems, devices, and methods of a safety system for analyzing and improving the safety of environments that may be shared between robots and humans. The safety system may receive a safety envelope that includes a reachable set of locations at an expected position of an object at a prediction time. The receiver may also receive a perception prediction that may be based on the safety envelope and may include environmental information associated with the object at the expected position at the prediction time. The safety system may also include a processor that generates an instruction to move a robot according to a safe movement instruction based on whether a perception check exceeds a predetermined threshold, wherein the perception check may be based on a difference between the perception prediction and sensor information indicative of the environment of the object at the prediction time.

Abstract: According to various aspects, a safety module is described including: one or more processors configured to receive road information representing a geometry of one or more roads in a Cartesian coordinate system, determine a lane coordinate system based on the received road information, the lane coordinate system including a plurality of lane segments arranged along a longitudinal direction and along a lateral direction of the lane coordinate system, wherein a length information and a width information are assigned to each of the lane segments, and determine a potential collision event based on the lane coordinate system.

Abstract: Disclosed herein are systems, devices, and methods of a safety system for monitoring the in-vehicle safety of internal objects within a vehicle. The safety system generates a digital twin of the interior objects from vehicle configuration data indicating a configuration of an interior environment of the vehicle, from interior object data associated with the interior object within the interior environment of the vehicle, and from vehicle situation data that indicates an operating status of the vehicle. The digital twin is an abstract model of the interior objects within the interior environment of the vehicle, and the safety system generates, based on the digital twin, a safety score associated with an operating behavior of the vehicle. Based on the safety score, the safety system determines a target level for the operating behavior.

Abstract: A monitoring system may include a memory having computer-readable instructions stored thereon and a processor operatively coupled to the memory. The processor may read and execute the computer-readable instructions to perform or control performance of operations. The operations may include receive, prior to a collision involving a vehicle, sensor data representative of a feature of an internal environment and determine the collision has occurred. The operations may include automatically instruct, based on the collision, a sensor to generate another sensor data representative of another feature of the internal environment. The operations may include receive the another sensor data from the sensor and compare the sensor data and the another sensor data to accident data corresponding to previous accidents. The accident data may include a diagnosed injury and an accident severity of each of the previous accidents. The operations may include determine a severity of the collision based on the comparison.

Abstract: A system of a collaborative Autonomous Vehicle (AV) Safety Driving Model (SDM) system, including at least one processor; and a non-transitory computer-readable storage medium including instructions that, when executed by the at least one processor, cause the at least one processor to: generate, in response to a condition being satisfied, an SDM message including encoded data representing a warning or a safety parameter; and cause a transceiver to transmit the generated SDM message.

Abstract: Disclosed embodiments provide a mobility as a service (MaaS) platform that orchestrates a variety of services that require a variety of different vehicle configurations. To ensure a cost effective vehicle fleet, the disclosed MaaS platform dynamically reconfigures vehicles as needed to perform services that are in demand. To accomplish this, some embodiments provide an API that allows third party service providers to register with the MaaS platform. The registration indicates capabilities of the third party service providers, and service center locations. The API also allows the MaaS platform to obtain status information on the third party service providers to, for example, determine wait times of the third party service providers to assist with scheduling vehicles for conversion.

Abstract: Mobility-as-a-Service (MaaS) provides technical solutions for technical problems facing this shift toward public and private vehicles for hire, including providing a platform for users to identify and select public transportation and private vehicles for hire. Users may plan and book transportation services through a MaaS platform, such as a smartphone application. Technical solutions described herein include improved identification and selection of a vehicle based on wireless communication, such as using Near-Field Communication (NFC), Bluetooth, Wi-Fi, and other wireless communication.

Abstract: Various systems and methods for controlling a vehicle using driving policies are described herein.

Abstract: Various systems and methods for controlling a vehicle using driving policies are described herein.

Abstract: According to various aspects, a safety module is described including: one or more processors configured to receive road information representing a geometry of one or more roads in a Cartesian coordinate system, determine a lane coordinate system based on the received road information, the lane coordinate system including a plurality of lane segments arranged along a longitudinal direction and along a lateral direction of the lane coordinate system, wherein a length information and a width information are assigned to each of the lane segments, and determine a potential collision event based on the lane coordinate system.