Provided is a route guidance apparatus and a route guidance method which are capable of appropriately performing route guidance on a road where a plurality of lanes exist on one side. The route guidance apparatus 12 or the route guidance method determines the timing of the automated or manual lane change based on the total required distance Dlcttl corresponding to the number of required lane changes Nlcn required for reaching the target lane 502tar from the current lane 502cur, and the remaining distance to the planned course change point Prc from the current position Pcur. When the timing of the lane change is reached, the timing of the automated lane change or the manual lane change is guided, or the automated lane change is performed.

In one embodiment, a computer-implemented method includes receiving a transportation request from a transportation requestor device to travel from a first location to a second location. The computer-implemented method also includes determining one or more routes from the first location to the second location and a characteristic associated with each route of the one or more routes. The computer-implemented method also includes selecting, based on the characteristic associated with each route of the one or more routes, a personal mobility vehicle from a fleet of personal mobility vehicles. The fleet of personal mobility vehicles includes different types of personal mobility vehicles. The computer-implemented method also includes providing instructions to a device associated with the personal mobility vehicle to direct the personal mobility vehicle to traverse a particular route of the one or more routes.

A system for a vehicle can include a computer having a processor and a memory, the memory storing instructions executable by the processor, including instructions to determine a curvature command for a vehicle based on a feedforward control action based on a road curvature, a feedback control action based on at least one of a path offset or a heading offset of a vehicle with respect to a line defining a target lane; and to operate the vehicle with respect to the line defining the target lane based on the curvature command.

An energy management system for an electric autonomous vehicle comprises a battery and a controller comprising a processor and a non-transitory computer-readable medium. The system comprises a pre-allocation input mechanism transmitting an input signal to the processor relating to a travel destination for the vehicle. The system comprises a navigation module receiving a wireless signal from a satellite network relating to a current location of the vehicle. The system comprises an autonomous input mechanism powered by the battery and transmitting an autonomous signal to the processor relating to dynamic conditions for autonomous operation of the vehicle. The processor determines a route between the current location and the travel destination, performs autonomous operation of the vehicle along the route, and selectively powers or tunes the usage of the at least one autonomous input mechanism with the battery during autonomous operation of the vehicle.

A crosswalk navigation system for operating an automated vehicle in an intersection includes an intersection-detector, a pedestrian-detector, and a controller. The intersection-detector is suitable for use on a host-vehicle. The intersection-detector is used to determine when the host-vehicle is proximate to an intersection and determine when the intersection includes a cross-walk. The pedestrian-detector is suitable for use on the host-vehicle. The pedestrian-detector is used to determine a motion-vector of a pedestrian relative to the cross-walk. The controller is in communication with the intersection-detector and the pedestrian-detector. The controller is configured to determine a travel-path of the host-vehicle through the intersection, determine when the pedestrian will pass through an intersect-location where the travel-path intersects the cross-walk based on the motion-vector, and operate the host-vehicle to enter the intersection before the pedestrian passes through the intersect-location and to arrive at the intersect-location after the pedestrian passes through the intersect-location.

The present disclosure relates to systems and methods for autonomous driving. The systems may obtain driving information associated with a vehicle; determine a state of the vehicle; determine one or more candidate control signals and one or more evaluation values corresponding to the one or more candidate control signals based on the driving information and the state of the vehicle by using a trained control model; select a target control signal from the one or more candidate control signals based on the one or more evaluation values; and transmit the target control signal to a control component of the vehicle.

An autonomous system may selectively displace human driver control of a host vehicle. The system may receive an image representative of an environment of the host vehicle and detect an obstacle in the environment of the host vehicle based on analysis of the image. The system may monitor a driver input to a throttle, brake, and/or steering control associated with the host vehicle. The system may determine whether the driver input would result in the host vehicle navigating within a proximity buffer relative to the obstacle. If the driver input would not result in the host vehicle navigating within the proximity buffer, the system may allow the driver input to cause a corresponding change in one or more host vehicle motion control systems. If the driver input would result in the host vehicle navigating within the proximity buffer, the system may prevent the driver input from causing the corresponding change.

Aspects of the disclosure provide for reducing inconvenience to other road users caused by stopped autonomous vehicles. As an example, a vehicle having an autonomous driving mode may be stopped at a first location. While the vehicle is stopped, sensor data is received from a perception system of the vehicle. The sensor data may identify a road user. Using the sensor data, a value indicative of a level of inconvenience to the road user caused by stopping the vehicle at the first location may be determined. The vehicle is controlled in the autonomous driving mode to cause the vehicle to move from the first location and in order to reduce the value.

A vehicle control device includes a sensor configured to sense driving information of a vehicle, and a controller. The controller is configured to activate or deactivate a fuel conservation mode of the vehicle based on a user input, and restrict acceleration of an engine of the vehicle to be within a predetermined range based on an accelerator pedal of the vehicle being pressed with a force that is greater than a threshold force and based on the vehicle being in an activated state of the fuel conservation mode. The controller is also configured to, based on the driving information satisfying a first condition, release a restriction on the acceleration of the engine of the vehicle in the activated state of the fuel-conservation mode.

A motor vehicle includes a plurality of sensors, a wireless communication unit, and a control device that is configured to receive data from the plurality of sensors and via the wireless communication unit relating to at least one of an environmental condition, a mechanical condition and a health-rated condition. The control unit formats the received data into a predetermined format corresponding to at least one detected condition, and compares the at least one detected condition to a plurality of known conditions. The control unit is further configured to identify a detected known condition when the at least one detected condition matches at least one of the plurality of known conditions, to select, in response to identifying the detected known condition, an automatic autonomous driving mode of the vehicle, and then to execute a predetermined driving maneuver corresponding to the detected known condition.