A test system and method for testing a coupled hybrid dynamic system in simulated motion along a path includes a physical test rig configured to test a physical component. A processor is configured with modeled test data, a first virtual model portion and a second virtual model portion of the coupled hybrid dynamic system, the first virtual model portion, the second virtual model portion and the physical component comprising the coupled hybrid dynamic system. The processor is configured to control the test rig such that the component under test responds to the second virtual model portion, that in turn receives a first input comprising the modeled test data, a second input being motion of the first virtual model portion of the coupled hybrid dynamic system, a third input being a control mode response from the test rig having the physical component under test and a fourth input comprising guidance controls for the coupled hybrid dynamic system.

The present disclosure teaches Real-time mobile broadband data access via satellite to mobile heavy equipment and personnel, focusing on health and safety solutions to open-pit mining operations in remote areas of the world. The system consists of a platform which allows for the integration of health and safety solutions, status monitoring systems, and transmitting broadband information in Real-time from these systems to anywhere in the world. The present disclosure's teachings include: 1) Gathering information from the sensors on work vehicles and personnel; 2) Transmitting Real-time broadband data packets over a wireless appliance; 3) Translating and processing information obtained through an intelligent diagnostic application which is placed on board heavy mobile vehicles and personnel and then transmitting it via a wireless network; and 4) Displaying the information collected in Real-time anywhere in the world via host computers or on a web page.

The invention relates to a system comprising a plurality of first sensors to measure parameters characterizing a vehicle operating state; a second sensor to measure a parameter characterizing an emission of an fuel processing apparatus; a control device to measure repeatedly over a predefined time period and to determine a vehicle operating state based on a first data set with measured values from the plurality of first sensors and predefined parameter ranges describing a predefined vehicle operating state; an allocation device to allocate a second data set comprising measured values from the second sensor to the predefined vehicle operating state; and an evaluation device to determine a characteristic value for assessing or optimizing the operating behavior of the vehicle based on the vehicle operating state and the second data set, wherein the characteristic value characterizes an energy efficiency of the vehicle or an emission behavior of the fuel processing apparatus.

A tire-wear detection system for an automated vehicle includes a steering-angle-sensor, a vehicle-path-detector, and a controller. The steering-angle-sensor indicates a steering-angle of a host-vehicle. The vehicle-path-detector indicates a turning-radius of the host-vehicle. The controller is in communication with the steering-angle-sensor and the vehicle-path-detector. The controller determines a wear-status of a tire of the host-vehicle based on the turning-radius and the steering-angle.

A dynamometer load device applies a load to a dynamometer unit that is connected to a hub of a wheel of a motor vehicle and being movable. The dynamometer load device applies, in conjunction with steering of the motor vehicle, a load to the dynamometer unit turning along with the hub. The load is applied in a direction opposite to a turning direction of the dynamometer unit.

A dynamometer load device applies a load to a dynamometer unit that is connected to a hub of a wheel of a motor vehicle and being movable. The dynamometer load device applies, in conjunction with steering of the motor vehicle, a load to the dynamometer unit turning along with the hub. The load is applied in a direction opposite to a turning direction of the dynamometer unit.

A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

A system and method for real world autonomous vehicle perception simulation are disclosed. A particular embodiment includes: receiving perception data from a plurality of sensors of an autonomous vehicle; configuring the perception simulation operation based on a comparison of the perception data against ground truth data; generating simulated perception data by simulating errors related to the physical constraints of one or more of the plurality of sensors, and by simulating noise in data provided by a sensor processing module corresponding to one or more of the plurality of sensors; and providing the simulated perception data to a motion planning system for the autonomous vehicle.

A system and method of method of carrying out a remedial action in response to a vehicle prognosis, the method including: receiving vehicle feature data from a vehicle; extracting a plurality of feature combination data from the vehicle feature data, wherein each of the feature combination data pertains to a feature combination, wherein each of the feature combinations includes two or more vehicle features; for each extracted feature combination data, then: (i) evaluating the extracted feature combination data using an anomaly detection function based on a multivariate distribution mixture model; and (ii) obtaining an anomaly detection score for each extracted feature combination based on the evaluating step; determining a vehicle subsystem that comprises a portion of vehicle electronics installed on the vehicle and that is likely experiencing a problem or unusual behavior based on the anomaly detection scores; and carrying out a remedial action in response to the determining step.

The present invention provides a precision agricultural-device control system for controlling agricultural implements (such as seed feeders and fertilizer sprayers) or on a line planter. More particularly, a command and control module is provided that is in communication with an interface module and provides commands in accordance with a field prescription. The interface module wirelessly transmits command messages to the agricultural implements or and receives monitoring messages from the agricultural implements. In certain embodiments, a novel, low latency and high reliability wireless protocol or using repeats is used to communicate wirelessly with the agricultural implements.