An example method includes (a) obtaining sensor data descriptive of an environment of an autonomous vehicle; (b) obtaining a plurality of travel way markers from map data descriptive of the environment; (c) determining, using a machine-learned object detection model and based on the sensor data, an association between one or more travel way markers of the plurality of travel way markers and an object in the environment; and (d) generating, using the machine-learned object detection model, an offset with respect to the one or more travel way markers of a spatial region of the environment associated with the object.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

The present disclosure relates to an automation kit for an agricultural vehicle that includes a kit controller configured to receive feedback from at least one sensor, to receive a mission path, and to receive a location signal from a locating device, where the kit controller is configured to control a velocity of the agricultural vehicle based at least on the mission path, the feedback, and the location signal. The automation kit also includes a vehicle interface configured to communicatively couple the kit controller to a bus of the agricultural vehicle, where the bus is communicatively coupled to at least a brake controller configured to control a hydraulic valve of a braking system of the agricultural vehicle, and the kit controller is configured to control the velocity at least by selectively sending a signal to the brake controller to control the braking system.

An example method includes (a) obtaining sensor data descriptive of an environment of an autonomous vehicle; (b) obtaining a plurality of travel way markers from map data descriptive of the environment; (c) determining, using a machine-learned object detection model and based on the sensor data, an association between one or more travel way markers of the plurality of travel way markers and an object in the environment; and (d) generating, using the machine-learned object detection model, an offset with respect to the one or more travel way markers of a spatial region of the environment associated with the object.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

The driving diagnostic device includes a processor, in which the processor acquires state information indicating an open or closed state of a door of a vehicle from a sensor mounted on the vehicle, determines that there is an event that indicates a change in the state when the state information satisfies a predetermined condition, and evaluates a driving operation of the vehicle in a predetermined period of time associated with the event.

Disclosed are devices, systems and methods related to direct and indirect methods for detecting wind speed and direction during driving. An example method may include estimating, by a processor of a vehicle controller, a speed and a direction of wind movement near the vehicle based on a first sensor output from a wind sensor, or a second sensor output from a non-wind sensor, or a combination of the first sensor output and the second sensor output, wherein a primary purpose of the wind sensor is wind detection, and a primary purpose of the non-wind sensor is different from wind detection, and generating a control output indicative of a vehicle disturbance force resulting from the wind based on the estimated speed and direction of the wind movement.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

The present invention relates to a technical idea for providing a delivery service on regular and irregular roads using autonomous vehicles. More specifically, the present invention relates to technology in which, on a regular road, a lead vehicle and at least one droid vehicle are coupled to each other and a delivery service is provided based on autonomous driving; and on an irregular road, the coupling between the lead vehicle and the droid vehicle is automatically released and the droid vehicle provides a delivery service by remotely controlling the driving of the droid vehicle by the lead vehicle in the last mile delivery section corresponding to the irregular road. According to one embodiment of the present invention, a system for providing a delivery service using autonomous vehicles may provide a delivery service on an irregular road where entry of normal vehicles is not allowed and a regular road where entry of small and low-speed vehicles is not allowed and may include a droid vehicle for providing a delivery service using limited autonomous driving performance in a last mile delivery section corresponding to the irregular road; and a lead vehicle for providing a delivery service based on autonomous driving on the regular road, transporting the droid vehicle by being coupled to the droid vehicle on the regular road, and remotely controlling driving of the droid vehicle after being separated from the droid vehicle in the last mile delivery section.

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.