A control device of a vehicle is provided. The device controls travelling of the vehicle such that the vehicle follows another vehicle based on information received from the other vehicle; and determines whether to allow the vehicle to start to follow another vehicle based on at least one of whether a user of the vehicle is inside the vehicle or an instruction from the user. The processor starts to follow another vehicle in a case where the travel control circuit is allowed to follow the other vehicle.

Provided are a control device and a control method for a vehicle, and storage medium which are capable of reducing vibration, noise, and speed change shock caused by a downshift when an increase in a required driving force is predicted during automated drive. In a control device (100) for a vehicle which is equipped with an automatic transmission (TM) and capable of automated driving control, when an increase in a required driving force is predicted during the execution of the automated driving control, a vehicle speed of the vehicle is maintained or decelerated until an increase timing of the required driving force, an engine rotation number is increased within a standby period until the increase timing of the required driving force, a torque of the engine is decreased in response to the increase in the engine rotation number, and a shift gear level of the automatic transmission is shifted downward.

Systems and methods are disclosed for determining a distraction level of a driver. A real-time driver analysis computer may receive sensor data from one or more driver analysis sensors. The real-time driver analysis computer may analyze the sensor data to determine a distraction level of a driver. Based on the distraction level, the real-time driver analysis computer may send one or more control signal to the vehicle and output one or more alerts to a mobile device associated with the driver.

In various examples, an integrated circuit includes first and second portions. The first portion includes a timer that starts when the first portion transmits at least one error signal to the second portion. The timer may reset when data corresponding to at least one fault has been cleared from the first portion. The first portion transmits a timeout error signal when the timer indicates at least a predetermined amount of time has elapsed. The second portion receives the at least one error signal and the timeout error signal when the timeout error signal has been sent. The second portion may notify an external system after the timeout error signal is received.

A system for detecting and mitigating an unsafe condition in a vehicle includes an image sensor configured to generate and output image data of one or more seats in a cabin of the vehicle and a processing system operably connected to the image sensor and including at least one processor. The processing system is configured to receive the image data from the image sensor, process the image data to determine a location of at least one passenger in the cabin, detect that the at least one passenger is located outside of the one or more seats based on the determined location of the at least one passenger in the cabin, and operate at least one component of the vehicle in a predefined manner in response to detecting that the at least one passenger is located outside of the one or more seats.

The techniques discussed herein may comprise an autonomous vehicle guidance system that generates a path for controlling an autonomous vehicle based at least in part on a static object map and/or one or more dynamic object maps. The guidance system may identify a path based at least in part on determining set of nodes and a cost map associated with the static and/or dynamic object, among other costs, pruning the set of nodes, and creating further nodes from the remaining nodes until a computational or other limit is reached. The path output by the techniques may be associated with a cheapest node of the sets of nodes that were generated.

Example embodiments relate to techniques for detecting adverse road conditions using radar. A computing device may generate a first radar representation that represents a field of view for a radar unit coupled to a vehicle and during clear weather conditions and store the first radar representation in memory. The computing device may receive radar data from the radar unit during navigation of the vehicle on a road and determine a second radar representation based on the radar data. The computing device may also perform a comparison between the first radar representation and the second radar representation and determine a road condition for the road based on the comparison. The road condition may represent a quantity of precipitation located on the road and provide control instructions to the vehicle based on the road condition for the road.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. An example system for an AV includes obtaining, by a computer located in the AV, an image from a camera located on the AV, where the image characterizes an area towards which the AV is driven on a lane on a road or a highway; determining, from the image, that a pedestrian or a cyclist is located next to the lane on the road or the highway; and in response to the determining, performing driving operations on the AV such as steering from a center of the lane to a first side of the lane that is away from the center of the lane and away from a location of the pedestrian or the cyclist, and/or slowing down the AV in response to certain conditions.

This information processing method causes a computer to execute: obtaining, via communication, information regarding the state of a mobile body capable of autonomous driving and manually controlled remote driving; determining a first operation control, which is included in operation control of the mobile body and involves a manually controlled remote operation, based on the information regarding the state of the mobile body when the mobile body is switched from the autonomous driving to the manually controlled remote driving; and causing the mobile body to operate based on the manually controlled remote operation corresponding to the first operation control, and causing the mobile body to perform a second operation control different from the first operation control.

An HMI control device includes an automation level acquisition portion and a display control unit. The automation level acquisition portion acquires an autonomous driving level determined by a driving control device. The display control portion controls an image display operation of an HMI device according to the autonomous driving level acquired by the automation level acquisition portion. When terminating a high autonomous driving level as the autonomous driving level, the display control portion controls the HMI device to provide an action instruction display that instructs the driver to take a low-level associated state so as to handle a low autonomous driving level. The low autonomous driving level is the autonomous driving level under which an in-vehicle system including the driving control device is prohibited from performing at least one of a lateral motion control realized by performing steering and a longitudinal motion control realized by performing acceleration/deceleration.