Abstract: The battery thermal management system includes a battery pack, a circulation subsystem, and a heat exchanger. The system can optionally include a cooling system, a reservoir, a de-ionization filter, a battery charger, and a controller.

Abstract: Technologies and techniques for dynamic, context-based distribution of program codes in a control system in a vehicle. The control system includes numerous control units. The allocation of the program codes to the corresponding control units in the control system takes place using a global placement chart. The global placement chart is calculated on a computer, which may be located outside the control system. The data from the global placement chart are sent to the control system. Other aspects include an at least partially autonomous motor vehicle that has a control system for executing dynamic, context-based distribution of program codes.

Abstract: Systems and methods are disclosed for guidance, control, and testing of autonomous vehicle features and a driver's response thereto. The system may activate a plurality of autonomous driving features of an autonomous vehicle. In response to a determination to initiate a driving test, the system may generate an indication to a driver of the autonomous vehicle of the initiation of the driving test and may deactivate or adjust parameters of one or more of the plurality of autonomous driving features. The system may receive, from one or more sensors of the autonomous vehicle or one or more sensors of a mobile computing device within the autonomous vehicle, driving data associated with the autonomous vehicle. Based on the driving data associated with the autonomous vehicle, the system may determine the driver's response time and actions taken by the driver during the driving test.

Abstract: A self-driving motor vehicle including numerous control units and numerous program codes for controlling the functions of the autonomous driving and other functions of the self-driving vehicle. Numerous program codes used for an autonomous driving mode are applied redundantly to at least two different control units. The self-driving motor vehicle may then be operated in an at least a partially autonomous driving mode. In this mode, the functions directly needed for satisfying a passenger's desire are determined, and weighted with regard to their importance in fulfilling the passenger's desires. At least one function of a lower order is then shut off, if the available resources in functioning control units and/or the power level in the self-driving motor vehicle are insufficient to execute program code for executing this function of the lower order.

Abstract: System and method of controlling operation of an optical sensor in a device. The optical sensor is configured to employ a scan pattern to scan respective portions of a full field of view. A navigation sensor is configured to obtain location coordinates of the device. An inertial sensor is configured to obtain an acceleration data of the device in a plurality of directions. A controller is configured to determine a position of the device at the present time based in part on the location coordinates and the acceleration data. The controller is configured to determine a sun striking zone based in part on a relative position of the sun and the device. When a sun overlap region between the respective portions of the full field of view and sun striking zone exceeds a first overlap threshold, operation of the optical sensor is modified.

Abstract: A method, system and computer-usable medium are disclosed for autonomous vehicle (AV) behavior synchronization. The AV driving pattern is adjusted to facilitate an occupant's satisfaction by receiving information as to person to form a driving history. The driving history is analyzed to identify preferences and patterns. Based on the driving history a driving preference model is formed for the person. AV driving algorithm(s) are adjusted based on the driving preference model for the person when the person is an occupant of the AV.

Abstract: A method for assisting operation of a vehicle traveling on a roadway includes acquiring visual images around the vehicle with at least one visual camera having a field of view and acquiring thermal images around the vehicle with at least one thermal camera having the field of view. The thermal images are superimposed over the visual images to produce composite images. An object is detected in the composite images. A vehicle assist system adjusts at least one of a direction of travel and speed of the vehicle in response to detecting the object.

Abstract: A robot and a method for localizing a robot are disclosed. The method for localizing a robot may include acquiring communication environment information including identifiers of access points and received signal strengths from the access points, generating an environmental profile for a current position of the robot based on the acquired communication environment information, comparing the generated environmental profile with a plurality of learning profiles associated with a plurality of regions, respectively, determining a learning profile corresponding to the environmental profile, based on the comparison, and determining a region associated with the determined learning profile as a current position of the robot. In a 5G environment connected for the Internet of Things, embodiments of the present disclosure may be implemented by executing an artificial intelligence algorithm and/or machine learning algorithm.

Abstract: A computing system obtains asset information, unmanned aerial vehicle (UAV) information, and regulation information, and determines, based on the obtained information, a 3-D global asset-inspection plan including a plurality of UAV route segments and respective UAV launch locations.

Abstract: A method for determining stability of a vehicle having a load suspended from the vehicle is provided. The method can include obtaining measurements from a plurality of sensors positioned on the vehicle, obtaining a measurement from a vehicle accelerometer operative to determine an inclination of the vehicle, determining a position of the load suspended from the vehicle, determining a slung load of the load suspended from the vehicle, using the determined slung load and the determined position of the load suspended from the vehicle, determining tipping moments acting on the vehicle, determining righting moments acting on the vehicle and determining a tipping stability based on the determined tipping moments and determined righting moments.

Abstract: An embodiment takes the form of a prediction system that obtains a respective indicated similarity of trajectories in each of a plurality of combinations of observed vehicle trajectories. The prediction system, for each of the combinations, calculates a distance between respective intermediate representations, generated by a neural network, of the trajectories in the combination, and performs a training of the neural network based on a calculated loss between the distance and the indicated similarity of the trajectories in the combination. The respective calculated losses converge after performing respective trainings for the combinations.

Abstract: A method for selecting a main object for an assistance function or automated driving function of a driver assistance system or driving system of a motor vehicle, the system containing object selection branches which include a first rule-based object selection branch for selecting a main object for the function and a second object selection branch, the second object selection branch including an artificial neural network for selecting a main object for the function, having the following steps: Aggregating of sensor data of the at least one sensor to form one or more object data records; Evaluating a novelty of a traffic situation characterized by the aggregated object data records in relation to training data of the artificial neural network; Switching between the object selection branches of the system, a rule-based object selection branch being used when the novelty of the traffic situation exceeds a threshold value.

Abstract: An autonomous moving apparatus includes: a detection unit that detects a distance to an object around the apparatus and a shape of the object; a moving unit that moves the apparatus so as to follow operation of a target person to be followed, which is detected by the detection unit; and a control unit that performs control for movement by the moving unit or stop in accordance with motion of each of two feet of the target person to be followed, which is detected by the detection unit.

Abstract: This disclosure generally relates to systems and methods to receiving onboard diagnostic data associated with an operational state of a vehicle of a user and pushing a message to the user, the message including information associated with the onboard diagnostic data.

Abstract: A method for operating an autonomous vehicle. The method includes the transmission of status data to a processing unit, which is independent of the autonomous vehicle, using a wireless communications link. The method furthermore includes monitoring of the function of the autonomous vehicle by the independent processing unit while taking the status data into account, and when a malfunction of the autonomous vehicle is detected, the independent processing unit determines target data for guiding the autonomous vehicle to a stopping position. The target data are transmitted to the autonomous vehicle, and the autonomous vehicle is guided to the stopping position with the aid of the target data. A position of the autonomous vehicle is determined using signals from the wireless communications link and is taken into account when determining the target data.

Abstract: In an example, the autonomous vehicle (“AV”) can be configured among the other vehicles and railway to communicate with a rider on a peer to peer basis to pick up the rider on demand from a location on a track, like a railway, tram or other track, rather than the rider being held hostage to a fixed railway schedule. The rider can have an application on his/her cell phone, which tracks each of the AVs, and contact them using the application on the cell phone. In an example, the AV is configured for both on-track and off track operation with different operating parameters for on-track and off track, including speed, degree of autonomy, sensors used etc.

Abstract: An aircraft operation method of providing weight and center of gravity information is used to dispatch the aircraft. The aircraft has telescoping landing gear struts and strut seals that interfere with the free movement of the strut. An event trigger signaling departure is detected from aircraft operations at a loading area. Internal strut pressure is measured and recorded upon detection for a period of time as the aircraft moves away. The recorded pressure measurements are transmitted to a first off-aircraft computer, which determines the total weight and center of gravity of the aircraft and provides the information to an operator of the aircraft.

Abstract: Methods, systems, and apparatus, including computer programs encoded on storage devices, for monitoring, security, and surveillance of a property. In one aspect, a system includes multiple robotic devices, multiple sensors, wherein the multiple sensors includes a first sensor, multiple charging stations, and a monitor control unit. The monitor control unit may include a network interface, one or more processors, and one or more storage devices that include instructions to cause the one or more processors to perform operations. The operations may include receiving data from the first sensor that is indicative of an alarm event, accessing information describing the capabilities of the each of the robotic devices, selecting a subset of robotic devices from the multiple robotic devices, and transmitting a command to each robotic device in the subset of robotic devices that instructs each respective robotic device to deploy to the location of the first sensor.

Abstract: A method of establishing a justification basis to Aircraft Regulatory Authorities, to allow a regulated aircraft to operate at increased maximum weight limitations, through the statistical identification of non-recognized weight errors being allowed in today's aircraft weight determination methods, with the recovery and utilization of the non-recognized weight errors to increase weight limitations through a Regulatory Authority finding of an Equivalent Level of Safety. A system for use in measuring aircraft weight and center of gravity, providing a method to reveal non-recognized weight errors. Sensors are attached to the landing gear struts, so to periodically and randomly measure and monitor aircraft weight and center of gravity.

Abstract: In a vehicle, application of hydraulic pressure in a hydraulic braking device is started, when an accelerator is turned on, and the accelerator is predicted to be turned off, and engine braking feeling is predicted to become insufficient, the engine braking feeling being deceleration feeling given to a driver when the accelerator is turned off and an engine brake is operated, and a predetermined condition that prediction time until the accelerator is turned off is shorter than dead time of a hydraulic pressure response of the hydraulic braking device is established. The hydraulic braking device generates a negative jerk in the vehicle when the accelerator is turned off upon lapse of dead time after application of the hydraulic pressure in the hydraulic braking device is started.