A control apparatus of a vehicle includes a selection unit configured to select one of a plurality of travel states which have different automation rates from each other, a storage unit configured to store an upper limit travel speed of each of the plurality of travel states, and a changing unit configured to change, based on at least one of an operation by a driver and/or information of the driver, an upper limit travel speed of a travel state which is currently selected by the selection unit. The changing unit changes, in accordance with the change in the upper limit travel speed of the travel state which is currently selected, an upper limit travel speed of a travel state which is not currently selected among the plurality of travel states.

A consciousness state determination system comprises a first image-taking section which is mounted on a vehicle and takes images of a driver of the vehicle, an electronic control unit which executes a consciousness state determination process of determining whether the driver is conscious, based on a first image corresponding to the image of the driver taken by the first image-taking section, and a mobile terminal carried by the driver. The electronic control unit is configured to determine whether the driver is conscious, based on terminal-side information corresponding to information acquired by the mobile terminal when a predetermined condition that a reliability level of a determination result obtained from the consciousness state determination process is presumably low, becomes satisfied.

Aspects of the disclosure provide for the generation of a driving difficulty heat map for autonomous vehicles. For instance, log data generated by a vehicle being driven in a manual driving mode for a segment of a route may be input into a disengage model in order to generate an output identifying a likelihood of a vehicle driving in an autonomous driving mode requiring a disengage from the autonomous driving mode along the segment of the route. The log data may have been collected within a geographic area. A grid for the geographic area may be generated. The grid may include a plurality of cells. The output is assigned to one of the plurality of cells. The plurality of cells and assigned output may be used to generate a driving difficulty heat map for the geographic area.

The present invention relates to an apparatus for providing a map which is mounted on a vehicle to provide map data to a plurality of electric components equipped in the vehicle. The apparatus for providing a map comprises: a communication unit for performing communication with the electric components and receiving, from a server, an original map including a plurality of layers; and a processor for calculating the reliability of information relating to the electric components using the original map and electric component information, which is received from at least one of the electric components, and performing controls relating to the electric component information based on the reliability.

There is provided a portable electronic monitoring device for providing an in-vehicle user warning system about how a semi-autonomous vehicle is being driven autonomously during a driving period. The device is removably and securely mountable to the vehicle and comprises: a sensor set comprising at least one sensor for sensing an exterior environment outside of the vehicle and movement of the vehicle within the exterior environment, an interface for receiving user input commands and delivering a warning output; and a processor operatively connected to the sensor set and the interface; wherein the sensor set is configured to monitor the automatic operation of the semi-autonomous vehicle within the exterior environment during the driving period and to generate sensor data representing driving events concerning the automated driving behaviour of the vehicle with respect to the exterior environment occurring during the driving period. The processor is configured to: process the sensor data during the driving period to compare the detected automated driving behaviour of the vehicle in the external environment with a model of expected automated vehicle driving behaviour for a particular driving event; identify a dangerous driving event, if the detected automated driving behaviour deviates beyond a threshold from the expected automated vehicle driving behaviour; and if a dangerous driving event has been detected, generate a warning alert via the interface to alert the driver to the occurrence of the dangerous driving event.

A vehicle comprises an autonomous driving system and a vehicle platform that controls the vehicle in response to a command received from the autonomous driving system. In the vehicle, when a first signal indicates an autonomous mode, the vehicle platform performs a shift change requested through a first command only while the second signal indicates a standstill.

A utility vehicle includes: a travel structure including a front wheel, a rear wheel, a steering structure mounted to the front wheel, and a drive source that drives the front wheel and/or the rear wheel; at least one operator used to operate the travel structure; circuitry that controls the travel structure; and a mode switcher that switches the utility vehicle between a manned operation mode in which the utility vehicle travels in response to operations on the operator and an autonomous travel mode in which the circuitry allows the utility vehicle to autonomously travel on a given travel route without any operations on the operator.

A vehicle congestion determination device includes: an acquisition unit configured to acquire a first information indicating an occurrence of traffic congestion based on a first threshold value and a second information indicating the occurrence of traffic congestion based on a second threshold value as an allowable condition for starting an autonomous driving operation during the traffic congestion; and a control unit configured to integrate the first information and the second information and execute a first algorithm for determining the occurrence of the traffic congestion based on the first threshold value and a second algorithm for determining the occurrence of the traffic congestion based on the second threshold value.

A system and a vehicle 100 of a system are described. The vehicle 100 is enabled to provide an autonomous driving mode, a manual driving mode and a vehicle-to-vehicle teleoperation driving mode. The vehicle 100 may send a support request if it detects an incident that prevents the use of the autonomous driving mode. FIG. 1a

A motion manager includes one or more processors. The one or more processors are configured to receive each piece of information indicating kinematic plans from a plurality of systems. The systems include a first system and a second system. The one or more processors are configured to receive, from the first system, request information requesting to select a first kinematic plan by prioritizing the first kinematic plan set in the first system over a second kinematic plan set in the second system The one or more processors are configured to arbitrate the kinematic plans. The one or more processors are configured to distribute a motion request to the vehicle to at least one of actuators. The motion request is set based on arbitration results.