An operation-security system for an automated vehicle includes an object-detector and a controller. The object-detector includes at least three sensors. Each sensor is one of a camera used to determine an image-location of an object proximate to a host-vehicle, a lidar-unit used to determine a lidar-location of the object proximate to the host-vehicle, and a radar-unit used to determine a radar-location of the object proximate to the host-vehicle. The controller is in communication with the at least three sensors. The controller is configured to determine a composite-location based on a comparison of locations indicated by the at least three sensors. Information from one sensor is ignored when a respective location indicated by the one sensor differs from the composite-location by greater than an error-threshold. If a remote sensor not on the host-vehicle is used, V2V or V2I communications may be used to communicate a location to the host-vehicle.

The disclosure provides an early notification system to alert a driver of an approaching unsafe autonomous or semi-autonomous driving zone so that a driver may switch vehicle to a non-autonomous driving mode and navigate safely through the identified location. In response, to a determination of an upcoming unsafe autonomous or semi-autonomous driving zone, the driver or system may take appropriate actions in response to the early notification.

In a vehicle traveling remote control system, vehicles and a remote control apparatus communicate with each other to repeatedly transmit, from the remote control apparatus to each vehicle, a remote control value to be used to control traveling of each vehicle. The vehicle traveling remote control system includes the remote control apparatus and a traveling control unit. The remote control apparatus includes a remote control value generating unit that repeatedly generates the remote control value for traveling control of each vehicle. The traveling control unit is provided in each vehicle and executes the traveling control based on the remote control value repeatedly received from the remote control apparatus. The remote control apparatus generates, using the remote control value generating unit, the remote control value in accordance with a priority or a target response cycle that are changed depending on a traveling environment of each vehicle.

Agricultural machines utilize global positioning systems (GPS) to acquire the location of the machine as well as the location of an event, which may be based upon an operation of the agricultural machine. Because of the possibility of outage and/or inaccuracy of the GPS, a GPS augmentation system can be included with the agricultural machine. The GPS augmentation system can supplement the location determination of the GPS, or can be used in place of the GPS when the GPS is not available. An unmanned vehicle can also be used as part of the augmentation system to provide additional information for the location of the agricultural machine and/or the event.

Agricultural machines utilize global positioning systems (GPS) to acquire the location of the machine as well as the location of an event, which may be based upon an operation of the agricultural machine. Because of the possibility of outage and/or inaccuracy of the GPS, a GPS augmentation system can be included with the agricultural machine. The GPS augmentation system can supplement the location determination of the GPS, or can be used in place of the GPS when the GPS is not available. An unmanned vehicle can also be used as part of the augmentation system to provide additional information for the location of the agricultural machine and/or the event.

Aspects of the disclosure relate to controlling a vehicle in an autonomous driving mode. The system includes a plurality of sensors configured to generate sensor data. The system also includes a first computing system configured to generate trajectories using the sensor data and send the generated trajectories to a second computing system. The second computing system is configured to cause the vehicle to follow a receive trajectory. The system also includes a third computing system configured to, when there is a failure of the first computer system, generate and send trajectories to the second computing system based on whether a vehicle is located on a highway or a surface street.

This application discloses a remote driving method, apparatus, and system, a device, and a medium, and relates to the field of intelligent driving. The method includes: obtaining working condition information of a vehicle; and determining a dynamic safety region for the vehicle according to the working condition information; the dynamic safety region being a region in which vehicle autonomous driving is used and no remote control driving is required, or the dynamic safety region being a region in which the vehicle autonomous driving is used and a degree of involvement of the remote control driving is lower than a predetermined degree.

A lawn mower control method and device, a lawn mower, and a storage medium. The method comprises: detecting operating data and sensing data of a plurality of operating sensors provided on a lawn mower, wherein the plurality of operating sensors comprise at least two different types of sensors (S101); fusing the sensing data of the plurality of operating sensors to obtain environment data around the lawn mower (S102); determining, when it is detected that a fault occurs in any of the operating sensors, a fault type of a faulty sensor according to the operating data of the faulty sensor and the environment data around the lawn mower, wherein the faulty sensor is an operating sensor in which a fault occurs (S103); and controlling, if the fault type of the faulty sensor is a first fault type, the faulty sensor to stop operating, and a backup sensor corresponding to the faulty sensor to start operating (S104). A redundant and accurate sensing function can be provided to enable accurate recognition of the fault type and effective handling of a fault.

A lawn mower control method and device, a lawn mower, and a storage medium. The method comprises: detecting operating data and sensing data of a plurality of operating sensors provided on a lawn mower, wherein the plurality of operating sensors comprise at least two different types of sensors (S101); fusing the sensing data of the plurality of operating sensors to obtain environment data around the lawn mower (S102); determining, when it is detected that a fault occurs in any of the operating sensors, a fault type of a faulty sensor according to the operating data of the faulty sensor and the environment data around the lawn mower, wherein the faulty sensor is an operating sensor in which a fault occurs (S103); and controlling, if the fault type of the faulty sensor is a first fault type, the faulty sensor to stop operating, and a backup sensor corresponding to the faulty sensor to start operating (S104). A redundant and accurate sensing function can be provided to enable accurate recognition of the fault type and effective handling of a fault.

A modular vehicle management system is described, comprising a controller module configured to control different types of carrier modules. The controller module includes a computer system and optionally one or more sensors. The computer system is configured to perform operations comprising detecting whether a carrier module is connected to the controller module. If the carrier module is connected to the controller module, the carrier module is authenticated. If the authentication fails, operation of the vehicle is inhibited. The control module is configured to determine carrier module capabilities including information regarding a navigation processing device, and/or a radio modem. The controller adapts to the capabilities of the controller module. Using information from the sensors and the navigation processing device, the vehicle management system navigates the vehicle.