A method for off road driving, the method may include obtaining environment sensed information about an environment of a vehicle of a certain model, by one of more vehicle sensors of the vehicle and while driving over an off road path; detecting, by a machine learning process, an off road driving event; determining, by the machine learning process, a characteristic behavior of vehicles of the certain model when facing the off road driving event; and responding, at least in part by the machine learning process, to the occurrence of the off road driving event.

Apparatuses, methods and systems including dynamic estimations of vehicle mass and road grade estimation are disclosed. One exemplary embodiment is a method including operating a vehicle system to propel a vehicle, determining with a controller a vehicle mass estimate and an uncertainty of the vehicle mass estimate, evaluating with the controller the uncertainty of the vehicle mass estimate relative to at least one criterion, if the uncertainty of the vehicle mass estimate satisfies the criterion, determining with the controller a road grade estimate, and controlling with the controller utilizing the road grade estimate at least one of a vehicle speed and an engine output.

Apparatuses, methods and systems including dynamic estimations of vehicle mass and road grade estimation are disclosed. One exemplary embodiment is a method including operating a vehicle system to propel a vehicle, determining with a controller a vehicle mass estimate and an uncertainty of the vehicle mass estimate, evaluating with the controller the uncertainty of the vehicle mass estimate relative to at least one criterion, if the uncertainty of the vehicle mass estimate satisfies the criterion, determining with the controller a road grade estimate, and controlling with the controller utilizing the road grade estimate at least one of a vehicle speed and an engine output.

Various driver assistance systems mountable in a host vehicle and computerized methods for detecting a vertical deviation of a road surface. The driver assistance system includes a camera operatively connectible to a processor. Multiple consecutive image frames are captured from the camera including a first image of the road and a second image of the road. Based on the host vehicle motion, the second image is warped toward the first image to produce thereby a warped second image. Image points of the road in the first image and corresponding image points of the road in the warped second image are tracked. Optical flow is computed between the warped second image to the first image. The optical flow is compared with an optical flow based on a road surface model to produce a residual optical flow. The vertical deviation is computed from the residual optical flow.

Various driver assistance systems mountable in a host vehicle and computerized methods for detecting a vertical deviation of a road surface. The driver assistance system includes a camera operatively connectible to a processor. Multiple consecutive image frames are captured from the camera including a first image of the road and a second image of the road. Based on the host vehicle motion, the second image is warped toward the first image to produce thereby a warped second image. Image points of the road in the first image and corresponding image points of the road in the warped second image are tracked. Optical flow is computed between the warped second image to the first image. The optical flow is compared with an optical flow based on a road surface model to produce a residual optical flow. The vertical deviation is computed from the residual optical flow.

In one aspect, a system for monitoring a level of hydraulic fluid in an agricultural sprayer includes a drive system, a hydraulic fluid system, and a fill level sensor. The system also includes a computing system communicatively coupled to both the drive system and the fill level sensor. The computing system is configured to monitor the level of hydraulic fluid within the hydraulic fluid reservoir based on data received from the fill level sensor. The computing system is further configured to detect a leak condition in the hydraulic fluid system based at least in part on the monitored level of the hydraulic fluid within the hydraulic fluid reservoir and control an operation of the drive system to reduce the ground speed of the agricultural sprayer in response to detecting the leak condition.

A vehicle and a method for controlling the vehicle are provided. The vehicle may include a battery; and a motor configured to generate a driving force by using the electric power charged in the battery, perform a regenerative braking, and charge the battery through the regenerative braking. The vehicle identifies destination information entered in the input during the preparation of charging at the charging station, searches for a route from the charging station to the destination based on the position information of the charging station and the position information of the destination, acquires the charging amount by regenerative braking based on the road information in the searched route and the table, and stops controlling the charging of the battery when the charging amount charged in the battery is charged by the regenerative braking during charging of the battery at the charging station.

A vehicle and a method for controlling the vehicle are provided. The vehicle may include a battery; and a motor configured to generate a driving force by using the electric power charged in the battery, perform a regenerative braking, and charge the battery through the regenerative braking. The vehicle identifies destination information entered in the input during the preparation of charging at the charging station, searches for a route from the charging station to the destination based on the position information of the charging station and the position information of the destination, acquires the charging amount by regenerative braking based on the road information in the searched route and the table, and stops controlling the charging of the battery when the charging amount charged in the battery is charged by the regenerative braking during charging of the battery at the charging station.

A travel resistance arithmetic device includes: a controller configured to estimate travel resistance which a vehicle receives from a travel road; and a memory configured to store the travel resistance in association with positional information. The controller is configured to: correct, based on difference between a stored value of the travel resistance stored in the memory in association with a predetermined area on the travel road through which the vehicle has already passed and an estimated value of the travel resistance estimated by the controller in the predetermined area, the stored value stored in the memory in association with a correction target area on the travel road and; output the corrected stored value as the travel resistance in the correction target area while the vehicle travels the travel road.

A travel resistance arithmetic device includes: a controller configured to estimate travel resistance which a vehicle receives from a travel road; and a memory configured to store the travel resistance in association with positional information. The controller is configured to: correct, based on difference between a stored value of the travel resistance stored in the memory in association with a predetermined area on the travel road through which the vehicle has already passed and an estimated value of the travel resistance estimated by the controller in the predetermined area, the stored value stored in the memory in association with a correction target area on the travel road and; output the corrected stored value as the travel resistance in the correction target area while the vehicle travels the travel road.