A vehicle occupant safety system involves multiple sensors within a vehicle, a monitor aggregator, a processor, a vehicle electronic control system, and a decision engine which will compare sensor data against a set of sensor parameters to determine whether any of multiple potential danger conditions exists within the vehicle, and determine which of multiple control actions are to be automatically taken and modify operation of at least one vehicle component. If a further determination is made that either the specified danger condition is persisting or has exceeded at least one specified severity threshold, the decision engine will determine whether to further modify operation of any vehicle component or take a specified escalation action. The decision engine will continue to make determinations regarding the specified danger condition and decide whether to take further control actions until the specified danger condition no longer exists.

An emergency stop system for transferring an at least semi-autonomously operable vehicle into a safe state includes an actuating device configured to output an actuating signal, a control device configured to receive the actuating signal and to output a control signal, and an emergency braking device configured to actively brake the vehicle. The emergency braking device is configured to actuate a braking system provided in the vehicle based on the output control signal and based on a predetermined operating mode in order to generate a braking force for decelerating the vehicle.

An emergency stop system for transferring an at least semi-autonomously operable vehicle into a safe state includes an actuating device configured to output an actuating signal, a control device configured to receive the actuating signal and to output a control signal, and an emergency braking device configured to actively brake the vehicle. The emergency braking device is configured to actuate a braking system provided in the vehicle based on the output control signal and based on a predetermined operating mode in order to generate a braking force for decelerating the vehicle.

A vehicle start-up mechanism is provided in a vehicle configured to travel while occupants are boarded in a vehicle cabin. The vehicle start-up mechanism includes: a first vehicle start-up switch configured to switch the state of the vehicle between the start-up state and the halt state; and a switch box provided on an outer surface of the vehicle and having the first vehicle start-up switch. The vehicle has an autonomous driving function.

A vehicle start-up mechanism is provided in a vehicle configured to travel while occupants are boarded in a vehicle cabin. The vehicle start-up mechanism includes: a first vehicle start-up switch configured to switch the state of the vehicle between the start-up state and the halt state; and a switch box provided on an outer surface of the vehicle and having the first vehicle start-up switch. The vehicle has an autonomous driving function.

A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

One or more techniques and/or systems are provided for notifying drivers to assume manual vehicle control of vehicles. For example, sensor data is acquired from on-board vehicles sensors (e.g., radar, sonar, and/or camera imagery of a crosswalk) of a vehicle that is in an autonomous driving mode. In an example, the sensor data is augmented with driving condition data aggregated from vehicle sensor data of other vehicles (e.g., a cloud service collects and aggregates vehicle sensor data from vehicles within the crosswalk to identify and provide the driving condition data to the vehicle). The sensor data (e.g., augmented sensor data) is evaluated to identify a driving condition of a road segment, such as the crosswalk (e.g., pedestrians protesting within the crosswalk). Responsive to the driving condition exceeding a complexity threshold for autonomous driving decision making functionality, a driver alert to assume manual vehicle control may be provided to a driver.

One or more techniques and/or systems are provided for notifying drivers to assume manual vehicle control of vehicles. For example, sensor data is acquired from on-board vehicles sensors (e.g., radar, sonar, and/or camera imagery of a crosswalk) of a vehicle that is in an autonomous driving mode. In an example, the sensor data is augmented with driving condition data aggregated from vehicle sensor data of other vehicles (e.g., a cloud service collects and aggregates vehicle sensor data from vehicles within the crosswalk to identify and provide the driving condition data to the vehicle). The sensor data (e.g., augmented sensor data) is evaluated to identify a driving condition of a road segment, such as the crosswalk (e.g., pedestrians protesting within the crosswalk). Responsive to the driving condition exceeding a complexity threshold for autonomous driving decision making functionality, a driver alert to assume manual vehicle control may be provided to a driver.

At least a portion of a setting pattern of functions relating to a boat is automatically changed in response to execution of activation operations different from one another. The boat includes a controller configured or programmed to activate the boat by each of a plurality of different activation operations. When an activation operation of the activation operations satisfying a first condition is executed, the controller sets functions relating to the boat with the first setting pattern. When an activation operation not satisfying the first condition is executed, the controller sets functions relating to the boat with a second setting pattern having setting contents at least partially different from the first setting pattern.

A method for switching modes for operating a vehicle, a non-transitory computer-readable medium for performing the method, and information processing apparatuses. The method includes determining, by circuitry of an information processing apparatus, whether a mode for operating the vehicle is to be switched from one of autonomous and manual driving modes to the other of the autonomous and manual driving modes. A state of a driver of the vehicle is obtained when the mode for operating the vehicle is determined to be switched. The method further includes switching, by the circuitry, the mode for operating the vehicle from the one of the autonomous and manual driving modes to the other of the autonomous manual driving modes based on the obtained state of the driver.