Abstract: A negator module of a predictive motion system determines initial parameters for a passenger profile using a virtual reality system of an autonomous vehicle. The negator module receives upcoming driving conditions from an autonomous navigation system of the autonomous vehicle during a ride in which the passenger resides in a seat of the autonomous vehicle and uses the virtual reality system. Using a cognitive model, the negator module predicts a cognitive state of the passenger based on the passenger profile and the upcoming driving conditions. The negator module determines commands for actuators coupled to the seat and commands for the virtual reality system that match the predicted cognitive state of the passenger. The negator module sends the commands to the actuators and the virtual reality system to be executed.

Abstract: A remote air conditioning start system includes a portable terminal of a user, a center server configured to communicate with the portable terminal, and a vehicle that includes an air conditioner and is configured to communicate with the center server. The remote air conditioning start system includes a user positional information acquisition unit, a vehicle positional information acquisition unit, and a controller. The user positional information acquisition unit is configured to acquire positional information of the portable terminal. The vehicle positional information acquisition unit is configured to acquire positional information of the vehicle. The controller is configured to perform control of the air conditioner including a start timing of the air conditioner based on a start request transmitted from the portable terminal to the center server according to a predetermined operation of the user based on the positional information of the portable terminal and the positional information of the vehicle.

Abstract: An inspection drone exclusively paired to a delivery vehicle identifies targeted inspection points corresponding to respective parts of the vehicle. A sensor on the drone detects inspection information relative to targeted inspection points once the drone has aerially moved proximate to each targeted inspection point. The drone automatically identifies a potential adverse inspection condition for a targeted inspection point based upon the inspection information. The drone responsively transmits an interactive intervention request to a display-enabled transceiver, where the request identifies the potential adverse inspection condition, indicates a need for a verified inspection of that targeted inspection point, and requests feedback regarding that targeted inspection point.

Abstract: Disclosed are a method of and an apparatus for controlling a vibration of a hybrid electric vehicle. An apparatus for controlling a vibration of a hybrid electric vehicle may include: an engine position detector detecting a position of an engine; an air amount detector detecting an air amount flowing into the engine; an accelerator pedal position detector detecting a position of an accelerator pedal; a vehicle speed detector detecting a speed of the hybrid electric vehicle; and a controller. The controller controls operation of a motor based on the position of the engine, the air amount, the position of the accelerator pedal, and the speed of the hybrid electric vehicle.