This invention involves the effect of multiple rules of the road at different elevation profiles on the speed constraints and therefore the overall fuel efficiency. A vehicle designed to optimize fuel consumption that is comprised of the rules of the road that determine maximum speed, minimum speed, stop signs, streetlights, and/or changes in other rules that determine the allowable speeds of the road, a localization mechanism, and an optimization engine to optimize the fuel economy by selecting a speed profile within that maintains the vehicle within the assigned range of speeds and minimizes fuel consumption. A wide variety of methods that typically are used to optimize the fuel efficiency of human drivers operating standard vehicles can also be applied towards autonomous vehicles driving at different speed constraints and with different changes in the elevation.

A driving diagnostic information management apparatus includes: a diagnostic information acquisition portion configured to acquire driving diagnostic information on a driver; a storage processing portion configured to store the driving diagnostic information per driver in a storage portion; a reception portion configured to receive a provision request on the driving diagnostic information; and a providing portion configured to, upon receipt of the provision request on the driving diagnostic information, provide the driving diagnostic information on a driver corresponding to the provision request.

Provided is an acceleration suppression apparatus having improved practicality. The acceleration suppression apparatus includes: an in-vehicle sensor (20) configured to acquire information relating to a position of an own vehicle and information relating to an operation of an operating element of the own vehicle to output the acquired information; and a parking assist ECU (10) configured to execute, based on the information acquired from the in-vehicle sensor (20), acceleration suppression control for suppressing acceleration of the own vehicle by controlling at least one of a drive device (30) or a braking device (40) mounted on the own vehicle. The parking assist ECU (10) is configured to execute the acceleration suppression control when, in a situation in which the own vehicle is positioned in a predetermined region including a parking space, a traveling mode of the own vehicle matches a predetermined mode defined in advance as a traveling mode when the own vehicle is being parked in the parking space.

Aspects of the disclosure relate to methods for controlling a vehicle having an autonomous driving mode. For instance, sensor data may be received from one or more sensors of the perception system of the vehicle, the sensor data identifying characteristics of an object perceived by the perception system. When it is determined that the object is no longer being perceived by the one or more sensors of the perception system, predicted characteristics for the object may be generated based on one or more of the identified characteristics. The predicted characteristics of the object may be used to control the vehicle in the autonomous driving mode such that the vehicle is able to respond to the object when it is determined that the object is no longer being perceived by the one or more sensors of the perception system.

In one embodiment, a driving environment is perceived based on sensor data obtained from a variety of sensors, including determining a current speed of an ADV. In response to a request for driving with an idle speed, a speed guideline is generated based on an idle speed curve in view of the current speed of the ADV. A speed planning operation is performed by optimizing a cost function based on the speed guideline to determine the speeds of the trajectory points at different points in time along a trajectory planned to drive the ADV. One or more control commands are then generated to control the ADV with the planned speeds along the planned trajectory, such that the ADV moves according to an intended idle speed.

A method performed by an electronic device is described. The method includes obtaining sensor data corresponding to multiple occupants from an interior of a vehicle. The method also includes obtaining, by a processor, at least one occupant status for at least one of the occupants based on a first portion of the sensor data. The method further includes identifying, by the processor, at least one vehicle operation in response to the at least one occupant status. The method additionally includes determining, by the processor, based at least on a second portion of the sensor data, whether to perform the at least one vehicle operation. The method also includes performing the at least one vehicle operation in a case that it is determined to perform the at least one vehicle operation.

A system and a method for providing visual assistance to an individual suffering from motion sickness. The system includes: a sensor configured to measure movement data of a vehicle in real time; an artificial horizon device designed to generate an image of an artificial horizon in real time on the basis of the movement data of the vehicle; and a wearable augmented reality device designed to display the image of the artificial horizon in real time to an individual who is wearing the wearable device and is a passenger in the vehicle.

The present subject matter relates generally to a driver assistance system and method for a vehicle. The driver assistance system includes a vehicle having a plurality of sensors, a telematics unit to communicate vehicle level data to the surroundings of the vehicle, a display device to display the vehicle level data, a server, and a smart device. The smart device communicates with the server on a first network and with the display device on a second network. The vehicle, the server, and the smart device communicates through each other via communication network. The invention is based on smart device interface with different communication devices to provide the user with real time vehicle, environmental data, and user related data.

Disclosed herein is a technique for generating and providing an indication to an autonomous vehicle regarding the confidence level for the accuracy or quality of the map data in which the indication is determined from observation data received from other vehicles.

The driving support apparatus includes a memory configured to store information representing a degree of familiarity with an environment for a driver of a vehicle; and a processor configured to detect an object existing around the vehicle based on a sensor signal representing a situation around the vehicle obtained by a sensor mounted on the vehicle, determine whether or not the object approaches the vehicle so that the object may collide with the vehicle, and notify the driver of the approach via a notification device mounted on the vehicle at a timing corresponding to the degree of familiarity with the environment for the driver of the vehicle, when it is determined that the object approaches the vehicle so that the object may collide with the vehicle.