Abstract: A system includes a processor configured to predict upcoming driver behavior based on a correlation between received context variables and previously observed driver behavior. The processor is also configured to request confirmation that predicted behavior is intended by a driver. Further, the processor is configured to change an in-vehicle display to include a control or feature relevant to the predicted behavior, upon confirmation receipt.

Abstract: A steering input device for a trailer backup assist system includes a control element moveable away from a center position sequentially through a first sub-range and a second sub-range and defining a first stop between the first sub-range and the second sub-range, movement past the first stop being permitted upon a first predetermined movement of the control element. The steering input device further includes a controller generating a vehicle steering command based on a position of the control element.

Abstract: Disclosed herein is a navigation apparatus that includes a receiver and a controller. The receiver may receive a plurality of events related to traffic information. The controller may be configured to generate an integrated event by processing the plurality of events when the plurality of events overlap or are consecutive events. The controller may calculate an average speed of the integrated event.

Abstract: One or more aspects of utility decomposition with deep corrections are described herein. An entity may be detected within an environment through which an autonomous vehicle is travelling. The entity may be associated with a current velocity and a current position. The autonomous vehicle may be associated with a current position and a current velocity. Additionally, the autonomous vehicle may have a target position or desired destination. A Partially Observable Markov Decision Process (POMDP) model may be built based on the current velocities and current positions of different entities and the autonomous vehicle. Utility decomposition may be performed to break tasks or problems down into sub-tasks or sub-problems. A correction term may be generated using multi-fidelity modeling. A driving parameter may be implemented for a component of the autonomous vehicle based on the POMDP model and the correction term to operate the autonomous vehicle autonomously.

Abstract: Methods, systems, and computer-readable storage media for generation of a vehicle repair plan. Implementations include actions of receiving vehicle damage data including an image of a damaged vehicle. The vehicle damage data is processed to determine a component region. The component region is processed to determine a damaged area and a damage type of a portion of the damaged vehicle. A maintenance plan is generated for the damaged vehicle based on the damaged area and the damage type. The maintenance plan is initiated for the damaged vehicle.

Abstract: A work machine according to an aspect includes: a dipper stick; a boom; a cylinder for driving the boom; an operation apparatus for operating the dipper stick; and a controller for performing intervention control by using the boom in accordance with an operation command issued from the operation apparatus to achieve land grading. The controller determines whether or not the operation command from the operation apparatus indicates an amount greater than or equal to a predetermined amount, and corrects a speed of the cylinder when the operation command from the operation apparatus indicates an amount greater than or equal to the predetermined amount.

Abstract: A traveling assistance method of the present invention for a vehicle capable of switching between manual driving by the driver and automated driving includes learning a braking distance of a case of stopping at an intersection during the manual driving by the driver, in which a braking distance of a case of no preceding vehicle in front of the vehicle is preferentially learned.

Abstract: The route prediction system according to the invention includes a measurement unit to measure an area including a host vehicle and other moving vehicles, a vehicle detection unit to detect the host vehicle and at least two of the surrounding vehicles having collision possibilities on the basis of observation results observed by the observation unit, a hypothesis generation unit to generate plural hypotheses for the at least two of the surrounding vehicles detected by the vehicle detection unit to avoid collision, a likelihood calculation unit to calculate a likelihood indicating probability of occurrence of each of the plural hypotheses generated by the hypothesis generation unit, and a predicted route analysis unit to analyze, on the basis of the likelihood calculated by the likelihood calculation unit, predicted routes of the at least two of the surrounding vehicles, and output the analysis result.

Abstract: A control system of an agricultural work vehicle system includes a controller configured to receive a set of swath paths, and separate each swath path of the set of swath paths into a set of half swaths. Also, the controller is configured to determine multiple possible connecting paths, and each connecting path of the multiple possible connecting paths connects one half swath of a first half swath of the set of half swaths to a second half swath of the set of half swaths. Moreover, the controller is configured to determine a cost for each possible connecting path of the multiple possible connecting paths. Further, the controller is configured to select a chosen connecting path from the multiple possible connecting paths based on the cost, and output a signal indicative of a travel path for an agricultural work vehicle.

Abstract: A method is provided for autonomously operating a vehicle. The method includes receiving, at a processor, at least vehicle state data and vehicle object environment data; generating, with the processor, an optimal path for the vehicle with a cost function based on the vehicle state data and the vehicle object environment data; identifying, with the processor, at least one critical condition constraint based on at least one of the vehicle or vehicle environment; modifying, with the processor, at least a first portion of the optimal path based on the at least one critical condition constraint to result in a short-range trajectory portion; generating a resulting trajectory with the short-range trajectory portion; and implementing the resulting trajectory on the vehicle.

Abstract: An abnormality monitoring device includes a control unit and a monitoring unit. The control unit includes a self-diagnosis circuit configured to perform a self-diagnosis processing during which other processing is inhibited. The monitoring unit includes an abnormality monitoring circuit and a reset circuit. The abnormality monitoring circuit is configured to perform an abnormality monitoring of the control unit. The reset circuit is configured to reset the control unit when the abnormality monitoring circuit decides an abnormality of the control unit. The abnormality monitoring circuit is configured to determine whether the self-diagnosis processing is finished, disable the abnormality monitoring of the control unit during the self-diagnosis processing, and start the abnormality monitoring of the control unit when the self-diagnosis processing is determined to be finished. Accordingly, the abnormality of the control unit is accurately monitored.

Abstract: A wireless engine monitoring system for an aircraft engine includes a housing and wireless transceiver that receives engine data, including engine data relating to environmental engine emissions. A processor processes the engine data and generates an alarm report when the environmental engine emissions exceed a threshold.

Abstract: A method, system, and computer program product is provided, for example, for matching a road sign observation information on a map application. The method may include receiving the road sign observation information. The method may further include identifying a plurality of candidate links based on a first distance between a location of the road sign observation information detection and a plurality of shape points. Additionally, the method may include calculating a heading difference between each of the plurality of candidate links and the location of the road sign observation information detection. Furthermore, the method may include identifying one or more qualified links from the plurality of candidate links, wherein the heading difference between each of the one or more qualified links from the plurality of candidate links and the location of the road sign observation information detection is within a predetermined heading difference threshold.

Abstract: Embodiments are provided that include receiving sensor data from a sensor positioned at a plurality of positions in an environment. The environment includes a plurality of landmarks. The embodiments also include determining, based on the sensor data, a subset of the plurality of landmarks detected at each of the plurality of positions. The embodiments further include determining, based on the subset of the plurality of landmarks detected at each of the plurality of positions, a detection frequency of each landmark. The embodiments additionally include determining, based on the determined detection frequency of each landmark, a localization viability metric associated with each landmark. The embodiments still further include providing for display, via a user interface, a map of the environment. The map includes an indication of the localization viability metric associated with each landmark.

Abstract: A vehicle control device is installed in a host vehicle and is configured to be capable of performing automatic driving or providing a driving support. The vehicle control device includes a left/right boundary line generating unit that calculates left and right boundary lines of a travel path on which the host vehicle travels. Further, the vehicle control device includes an ideal travel route generating unit that sets constraint points through which the host vehicle passes within a range of the left and right boundary lines, and furthermore, calculates an ideal travel route in which a curvature with the constraint points serving as a constraint condition, a travel distance, and a difference from a center line are minimized.

Abstract: According to one example, a control system is disclosed. The system can include a steering system configured to direct a movement of a compactor within a compacting area. The system can include one or more sensors configured to generate data indicative of operational criteria of the compactor, the one or more sensors including a speed sensor configured to measure a speed of the compactor over a surface within the compacting area and a controller communicatively coupled to the one or more sensors. The controller can be configured to: receive data indicative of the speed of the compactor from the speed sensor, determine if the speed of the compactor exceeds a first threshold speed, and if the speed of the compactor exceeds the first threshold speed, control the steering system to limit a turning angle to a predetermined value such that a turning radius of the compactor is increased.

Abstract: A system and method for measuring a driver's actual driving behaviors (e.g., acceleration, deceleration) in a manual driving mode to determine their preferred driving style, and then causing an autonomous or semi-autonomous vehicle to operate itself, within limits, in accordance with the drivers' driving style when operating in a self-driving mode, thereby providing a more familiar and comfortable driving experience for the driver. Data is collected on the actual driving behavior, any pre-existing data is accessed on the actual driving behavior, and the collected data and the pre-existing data are combined. A custom control is then created based upon the combined data, and the custom control is applied to manage the self-driving behavior of the autonomous or semi-autonomous vehicle in a self-driving mode. Additional data continues to be collected on the actual driving behavior, and the custom control is adjusted based upon the collected additional data.

Abstract: A depth guidance system for a work vehicle can be provided. In one example, the depth guidance system can include a depth sensor for detecting a depth of a work tool coupled to the work vehicle. The depth guidance system can include a first indicator light configured to illuminate in a first color indicating that the work tool is above a target depth-range. The depth guidance system can also include a second indicator light configured to illuminate in a second color indicating that the work tool is within the target depth-range. The depth guidance system can receive sensor signals from the depth sensor indicating that the work tool is at various depths and responsively activate a corresponding one of the first indicator light or the second indicator light for each depth among the various depths of the work tool.

Abstract: An object of the present invention is to provide a map creation system and a map creating method capable of accurately creating road data on map data used for estimating a road being travelled by a vehicle. A map creation system includes a trajectory data creation unit creating trajectory data of a vehicle travelling in a predetermined area on a first road on the basis of positional information of the vehicle, a representative point extraction unit extracting, of created plural pieces of the trajectory data, representative points located on a side of a second road different from the first road, and a road data creation unit creating data for the first road on map data on the basis of the plural representative points extracted for respective plural predetermined areas.

Abstract: If an automated drive release request to release the automated drive mode and switch to the manual drive mode is made while the vehicle is travelling in an automated drive mode, a traveling control unit performs control that gradually shifts a vehicle driving force from the vehicle driving force in the automated mode to the vehicle driving force requested by the driver in the manual drive mode.