A design solution for classifying users as potential drivers traveling in a vehicle based upon a combination of real-time data gathered during a shared trip and historical data. Data gathered include overlapping time and distance of users to be classified as potential drivers. Shared trip scenarios include two or more users share a complete trip from beginning to end; two or more users share the beginning of a trip where at least one user is dropped off and the other user continues driving; two or more users share the end of a trip where at least one user is picked up during the shared trip; and one user picks up another user during a trip to thereby create a shared trip and drop off the other user to a different location before heading to a final location.

A monitoring system and method determine a consumption metric representative of one or more of an amount of fuel consumed or an amount of energy consumed by a vehicle during travel over a route. The consumption metric is independent of one or more of vehicle load or elevation change over the route. The system and method optionally can determine a route condition metric representative of a condition of a route traveled upon by a vehicle. The route condition metric is based on a comparison between an actual grade of the route at one or more locations along the route and an estimated grade of the route at the one or more locations.

A monitoring system and method determine a consumption metric representative of one or more of an amount of fuel consumed or an amount of energy consumed by a vehicle during travel over a route. The consumption metric is independent of one or more of vehicle load or elevation change over the route. The system and method optionally can determine a route condition metric representative of a condition of a route traveled upon by a vehicle. The route condition metric is based on a comparison between an actual grade of the route at one or more locations along the route and an estimated grade of the route at the one or more locations.

An automatic driving system includes an electronic control device configured to: detect a driving operation input amount during an automatic driving control for a vehicle; determine whether the driver is able to start manual driving during the automatic driving control for the vehicle; output a signal for performing switching from automatic driving to the manual driving based on a result of a comparison between the driving operation input amount and a driving switching threshold that is a threshold for the switching from the automatic driving to the manual driving; set the driving switching threshold to a first driving switching threshold when it is determined that the driver is able to start the manual driving; and set the driving switching threshold to a second driving switching threshold exceeding the first driving switching threshold when it is determined that the driver is not able to start the manual driving.

An automatic driving system includes an electronic control device configured to: detect a driving operation input amount during an automatic driving control for a vehicle; determine whether the driver is able to start manual driving during the automatic driving control for the vehicle; output a signal for performing switching from automatic driving to the manual driving based on a result of a comparison between the driving operation input amount and a driving switching threshold that is a threshold for the switching from the automatic driving to the manual driving; set the driving switching threshold to a first driving switching threshold when it is determined that the driver is able to start the manual driving; and set the driving switching threshold to a second driving switching threshold exceeding the first driving switching threshold when it is determined that the driver is not able to start the manual driving.

An object detection apparatus is mounted to a moving body to which a plurality of distance measurement sensors are mounted, and detects an object that is present in a vicinity of the moving body. In response to direct waves and indirect waves being received, the object detection apparatus acquires a relative position of an object to a moving body based on principles of triangulation using distance measurement information based on the direct waves and distance measurement information based on the indirect waves. In response to the received waves being reflected waves from an object of which the relative position has been already acquired and only either of the direct waves and the indirect waves being received as received waves, the object detection apparatus estimates the relative position of the object to the moving body based on a reference position that is the relative position that has been already acquired.

An object detection apparatus is mounted to a moving body to which a plurality of distance measurement sensors are mounted, and detects an object that is present in a vicinity of the moving body. In response to direct waves and indirect waves being received, the object detection apparatus acquires a relative position of an object to a moving body based on principles of triangulation using distance measurement information based on the direct waves and distance measurement information based on the indirect waves. In response to the received waves being reflected waves from an object of which the relative position has been already acquired and only either of the direct waves and the indirect waves being received as received waves, the object detection apparatus estimates the relative position of the object to the moving body based on a reference position that is the relative position that has been already acquired.

A vehicle includes an actuator, a drivetrain configured to receive mechanical power from the actuator, an accelerator pedal position sensor configured to output a driver-demanded torque, and a controller in electric communication with the sensor and the actuator. The controller is programmed to receive the driver-demanded torque and output a shaped torque command to mitigate driveline disturbances caused by backlash and shaft compliance.

Systems, apparatuses, and methods are disclosed for generating an inference model and improving its performance on identified problem locations. Data collected by one or more data sources, such as vehicles, stationary sources, and external or online sources, is used to create an initial inference model, which is then used in an autonomous driving simulator along with the collected data and human driver responses to identify at least one problem location. One or more additional categories of data are identified and collected. The additional category data is then used to create a second inference model.

A method for controlling a coasting guide function is provided. The method may include: detecting a speed limit and an average speed of a peripheral vehicle; detecting a valid speed limit when a coasting event occurs; and calculating a target speed by using a speed factor computed by using at least one of the valid speed limit, the average speed of the peripheral vehicle, or a current speed.