Abstract: Methods and systems are provided for controlling a fuel system of a vehicle to diagnose whether a fuel filter is functioning as desired. In one example, a method may include, in response to a fuel rail pressure decreasing below a threshold pressure while an engine of the vehicle is running, diagnosing whether degradation of fuel injectors or a fuel pressure regulator of the vehicle has occurred while the engine is not running. Then, only if degradation of the fuel injectors and fuel pressure regulator has not occurred, a fuel filter cleaning routine is performed.

Abstract: A system and method for mapping parameter data acquired by a robot mapping system is disclosed. Parameter data characterizing the environment is collected while the robot localizes itself within the environment using landmarks. Parameter data is recorded in a plurality of local grids, i.e., sub-maps associated with the robot position and orientation when the data was collected. The robot is configured to generate new grids or reuse existing grids depending on the robot's current pose, the pose associated with other grids, and the uncertainty of these relative pose estimates. The pose estimates associated with the grids are updated over time as the robot refines its estimates of the locations of landmarks from which determines its pose in the environment. Occupancy maps or other global parameter maps may be generated by rendering local grids into a comprehensive map indicating the parameter data in a global reference frame extending the dimensions of the environment.

Abstract: An aftermarket vehicle head unit integration cartridge for use with an aftermarket head unit is provided. The aftermarket head unit preferably includes a dedicated slot for insertion of the cartridge. The cartridge preferably supports communication between a plurality of electronic components in the aftermarket head unit and a plurality of electronic components in the vehicle. The plurality of electronic components in the aftermarket head unit may include, for example, an audio processing system, a video processing system, an analog I/O and/or a digital I/O. and/or a plurality of electronic components. The plurality of electronic components in the vehicle may include an audio system, an analog I/O, a digital I/O/databus, and/or a steering wheel control unit. The cartridge may include a flashable memory for use in reconfiguring the cartridge. The cartridge may be configured to capture and condition the signals from at least one of the plurality of the vehicle-based electronic components.

Abstract: An example operation may include one or more of receiving motor vehicle data related to a motor vehicle from a sensor, retrieving a smart contract, related to the motor vehicle data, stored in a blockchain, performing a validation of the motor vehicle data based on validation standards stored in the smart contract, in response to the validation standards not being satisfied, identifying a required corrective action to the motor vehicle, transmitting a request for the corrective action to be performed to one or more registered entities, receiving a confirmation that the corrective action is complete, creating a blockchain transaction including the confirmation, and storing the blockchain transaction in the blockchain.

Abstract: Examples of techniques for controlling a vehicle based on trailer position are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes extracting, by a processing device, a feature point on a trailer from an image captured by a camera associated with a vehicle, the trailer being coupled to the vehicle. The method further includes determining, by the processing device, a distance between the feature point on the trailer and a virtual boundary. The method further includes, responsive to determining that the distance between the feature point on the trailer and the virtual boundary is less than a threshold, controlling, by the processing device, the vehicle to cause the distance between the feature point on the trailer and the virtual boundary to increase.

Abstract: In the present disclosure, operations may include obtaining a parking area constraint, a time constraint, and one or more mobile machine parameters. The operations may include determining a first parking position within the parking area during the time period. The operations may include identifying one or more shade-providing objects. The operations may include determining, based on the one or more shade-providing objects, one or more shadow profiles. The operations may include determining, based on the time constraint, the parking area constraint, and the one or more shadow profiles, a first shadow-position relationship that indicates shade provided at the first parking position during the time period. In addition, the operations may include selecting the first parking position based on the first shadow-position relationship and the one or more mobile machine parameters. The operations may further include, in response to the selecting, causing the mobile machine to park at the first parking position.

Abstract: An apparatus comprising a processor and memory including computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: identify, for use in route navigation, a complete set of lane traversals for a road intersection from two or more different complete sets of lane traversals for the road intersection based on respective safety-traffic flow scores assigned according to one or more predefined safety-traffic flow criteria, wherein each lane traversal defines a path of travel from an inbound lane of the road intersection to an outbound lane of the road intersection, and wherein each different complete set of lane traversals comprises a different combination of lane traversals for the road intersection.

Abstract: A system includes a processor and a memory. The memory stores instructions executable by the processor to actuate a first vehicle to form a platoon including a second vehicle upon determining that an external light of the first vehicle is in a fault state.

Abstract: The present invention provides specific systems, methods and algorithms based on artificial intelligence expert system technology for determination of preferred routes of travel for electric vehicles (EVs). The systems, methods and algorithms provide such route guidance for battery-operated EVs in-route to a desired destination, but lacking sufficient battery energy to reach the destination from the current location of the EV. The systems and methods of the present invention disclose use of one or more specifically programmed computer machines with artificial intelligence expert system battery energy management and navigation route control. Such specifically programmed computer machines may be located in the EV and/or cloud-based or remote computer/data processing systems for the determination of preferred routes of travel, including intermediate stops at designated battery charging or replenishing stations.

Abstract: A voter configured for in-flight tuning based on flight phase and operational scenario receives sensor signals and applies adaptive tolerances. The voter allows integration of high-integrity sensors with less accurate, low-integrity sensors, or even sensors that are susceptible to noise, dropouts, interference or sabotage without compromising the voted signal integrity or availability. The voter composites low-integrity sensor signals to produce a quasi-high-integrity sensor signal suitable for inclusion in a golden signal and provides sensor fusion.

Abstract: In one aspect, a system for controlling the speed of a seed-planting implement may include a furrow closing assembly configured to close a furrow formed in the soil by the seed-planting implement. Furthermore, the system may include a sensor configured to capture data indicative of an operational parameter of the furrow closing assembly. Additionally, the system may include an implement-based controller supported on the seed-planting implement and being communicatively coupled to the sensor. As such, the implement-based controller may be configured to initiate control of a drive parameter of a work vehicle configured to tow the seed-planting implement based on sensor data received from the sensor in a manner that adjusts the speed of the seed-planting implement.

Abstract: A method for controlling a crane component of a tower crane in proximity of obstacles at a worksite by defining a forbidden volume is disclosed. In the method a distance from the crane component to an outer surface of the forbidden volume is determined and a computing device limits movement of the crane component based on the distance from the crane component to the outer surface of the forbidden volume to avoid entering the forbidden volume with the crane component while the crane is in operation. The crane component is one or more of a boom and a hook block.

Abstract: Users within transit in a vehicle may initiate location queries to fulfill a set of interests, such as stops for food, fuel, and lodging. A device may fulfill the queries according to various factors, such as the distance of nearby locations to the user or to another location specified by the user, and the popularity of various locations. However, the user may not have specified or even chosen a route, and may wish to have interests fulfilled at a later time (e.g., stopping for food in 30 minutes), and a presentation of search results near the user's current location may be unhelpful. Presented herein are techniques for fulfilling location queries that involve predicting a route of the user, and identifying a timing window for the query results (e.g., locations that are likely to be near the user's projected location when the wishes to stop for food in 30 minutes).

Abstract: A control method for a motor-driven vehicle is provided. The method includes calculating a correction torque of a drive motor through a difference between speeds of wheels or a variance rate of the difference between speeds of the wheels and comparing a calculated correction torque with a current required torque of the drive motor. When the calculated correction torque is greater than the current required torque, the drive motor is operated based on the current required torque. When the calculated correction torque is less than or equal to the current required torque, the drive motor is operated based on the calculated correction torque, or the required torque of the drive motor is corrected to correspond to the calculated correction torque and the drive motor is operated based on a corrected required torque of the drive motor.

Abstract: The disclosed computer-implemented method may include (i) receiving a first transport request and a second transport request, (ii) evaluating a fitness of matching the first and second transport requests to be fulfilled by a transport provider, based at least partly on a transportation overlap between the first and second transport requests, (iii) generating a simulated future transport request, (iv) evaluating a fitness of matching the first transport request with the simulated future transport request, based at least in part on a transportation overlap between the first transport request and the simulated future transport request, and (v) matching the first and second transport requests based at least in part on the fitness of matching the first and second transport requests and based at least in part on the fitness of matching the first transport request with the simulated future transport request. Various other methods, systems, and computer-readable media are disclosed.

Abstract: Vehicle systems that implement action planning for a vehicle have had difficulty in maintaining safety in the event of a failure in a recognition device since these systems generate trajectories and control the vehicle on the basis of outside-world information recognized by recognition devices. The present invention was conceived in light of the aforementioned situation and addresses the problem of maintaining safety even in the event of a failure in a recognition device of a vehicle system. This problem can be solved by an action planning device having a failure detection unit for detecting a failure in an outside-world recognition unit and a trajectory generation/determination unit for executing an action on the occurrence of a failure on the basis of outside-world information outputted by the outside-world recognition unit, wherein the trajectory generation/determination unit takes an action for coping with the failure on the basis of failure information from the failure detection unit.

Abstract: An electronic apparatus is provided. The electronic apparatus includes at least one processor configured to detect, by a sensor, a driving state of a vehicle or a driving state of another vehicle in a vicinity of the vehicle while the vehicle is being driven, obtain state data including the driving state of the vehicle and the driving state of the other vehicle, and use at least one data recognition model to determine a dangerous situation of the vehicle after a certain period of time while the vehicle is being driven, based on the obtained state data. The electronic apparatus may predict a dangerous situation of the vehicle by using a rule-based algorithm or an artificial intelligence (AI) algorithm. The electronic apparatus predicts the dangerous situation of the vehicle by using at least one of machine learning, a neural network, and a deep learning algorithm.

Abstract: An obstacle avoidance system is provided to assist a pilot in avoiding obstacles. The obstacle avoidance system includes a set of proximity sensors and a pilot interface device. The set of proximity sensors detects nearby obstacles by emitting a signal and receiving a reflected signal from an obstacle. A processor receives an obstacle indication from the set of proximity sensors and detects the obstacle that is in proximity to the aircraft based at least in part on the reflected signal. The processor acquires a distance and a direction to the obstacle and calculates a threat level posed by the obstacle. The pilot interface device is operable to display the following: an ownship icon indicative of the aircraft, a velocity vector icon indicative of a velocity vector of the aircraft, and an obstacle graphic indicative of the distance, direction, and threat level of the obstacle.

Abstract: A smart communications hub can enable management of driverless and/or autonomous vehicles. Separating current wireless data from driverless vehicle sensor data can allow for quicker resolutions involving driverless vehicles. The smart communications hub can communicate to other groups such as driverless vehicle providers, service providers, vehicle management, law enforcement, etc. The smart communications hub can also process request from both mobile applications and micro-service applications.

Abstract: Vehicle systems that implement action planning for a vehicle have had difficulty in maintaining safety in the event of a failure in a recognition device since these systems generate trajectories and control the vehicle on the basis of outside-world information recognized by recognition devices. The present invention was conceived in light of the aforementioned situation and addresses the problem of maintaining safety even in the event of a failure in a recognition device of a vehicle system. This problem can be solved by an action planning device having a failure detection unit for detecting a failure in an outside-world recognition unit and a trajectory generation/determination unit for executing an action on the occurrence of a failure on the basis of outside-world information outputted by the outside-world recognition unit, wherein the trajectory generation/determination unit takes an action for coping with the failure on the basis of failure information from the failure detection unit.