Method and apparatus are disclosed for a driver interactive system for semi-autonomous modes of a vehicle. An example disclosed vehicle with semiautonomous features includes memory and a processor. The example processor causes the vehicle to determine, with a driver identification sensor, the identity of a driver. The example processor also causes the vehicle to determine which semiautonomous features are flagged for training based on a driver profile of the identified driver. Additionally, the example processor causes the vehicle to, in response to the driver activating one of the flagged semiautonomous features, provide an audiovisual description of the semiautonomous feature.

A system and method for transitioning between an autonomous and manual driving mode based on detection of a driver's capacity to control a vehicle are disclosed. A particular embodiment includes: receiving sensor data related to a vehicle driver's capacity to take manual control of an autonomous vehicle; determining, based on the sensor data, if the driver has the capacity to take manual control of the autonomous vehicle, the determining including prompting the driver to perform an action or provide an input; and outputting a vehicle control transition signal to a vehicle subsystem to cause the vehicle subsystem to take action based on the driver's capacity to take manual control of the autonomous vehicle.

A work vehicle allows an operator to easily check the vertical position and the angle of bucket. The work vehicle includes a front loader with a bucket, and freely raises/lowers and rotates the bucket. The work vehicle comprises a display disposed near an operator seat. The display is configured to display vertical position information and angle information of the bucket.

A driving assistance device and a driving assistance method applied in a vehicle are disclosed in the present disclosure. The driving assistance device includes: an identification module configured to identify a warning object ahead of the vehicle and a positional relationship between the warning object and the vehicle; an application module configured to determine warning information corresponding to the warning object, and generate a projection image in accordance with the warning information; a processing module configured to determine a projection position of the projection image in a projection area and a perceived distance between a formed image projected by the projection image to the projection area and a viewer in the vehicle, in accordance with the positional relationship between the warning object and the vehicle; and a projection module configured to project the warning information in accordance with the determined projection position and the determined perceived distance.

A computing device in a vehicle can be programmed to determine a virtual steerable path polynomial including a lane change maneuver, update the virtual steerable path polynomial by controlling a vehicle trajectory, and, pilot the vehicle based on the virtual steerable path polynomial. The computer further programmed to determine the virtual steerable path polynomial based on the vehicle trajectory.

A computing device in a vehicle can determine a time bound for a lane change maneuver based on determining a reaction time, an occupant acceptance time, a vehicle maneuver time and a maneuver cancellation time and request authorization to perform the lane change maneuver. The computing device can determine the time bound has expired, and cancel the authorization request based on the expired time bound.

A computing device in a vehicle can determine a plurality of lane change maneuvers based on the time to collision. The computing device can determine a field of safe travel to execute the lane change maneuvers without braking to a stop and display the field of safe travel to an occupant.

A computing device in a vehicle can be programmed to display a predicted path based on a planned lane change maneuver and execute the lane change maneuver. While the lane change maneuver is being executed, the computing device can update the predicted path display based on the lane change maneuver.

A computing device in a vehicle, programmed to pilot a vehicle by adaptive cruise control and determine a lane change maneuver based on the adaptive cruise control and determined traffic in an adjacent lane. The computing device can display a prompt to an occupant based on the lane change maneuver.

A computing device in a vehicle can be programmed to determine a time to a collision and a field of safe travel, select one of a first and a second haptic output based on (a) the field of safe travel and (b) a predetermined time threshold. The computing device can deliver the first haptic output via a steering wheel when the time to collision is greater than the predetermined time threshold and deliver the second haptic output via the steering wheel when the time to collision is less than or equal to the predetermined time threshold.