This application relates to the field of automobile diagnosis technologies, and discloses a method and apparatus for remotely calibrating an advanced driver assistance system (ADAS), and a computer device. A diagnosis device may establish a remote connection to a client to directly remotely calibrate the ADAS of an automobile without the limitation of a distance. Therefore, a repair factory does not need to purchase diagnosis devices for all vehicle models. Instead, the diagnosis device can remotely calibrate the ADAS for the automobiles in the repair factory. In this way, the operation costs of the repair factory are greatly reduced. By means of the remote connection established between the client and the diagnosis device, the application of the diagnosis device is no longer limited to a specific area. Instead, the diagnosis device is applicable to any place where a remote connection can be established.

The in-vehicle control system in which a plurality of ECUs for controlling in-vehicle devices are connected to be able to communicate with each other is provided with an information set setting unit for setting an information set by combining information targeting different ECUs from among the original information relating to control functions of sound ECUs, an information collecting unit for collecting present information corresponding to the original information from each of the ECUs targeted by the information set, and an abnormality detection unit for detecting any one of the ECUs targeted to be abnormal when a degree of coincidence between correct answer information calculated by an evaluation function f with the information set as an argument and an evaluation value calculated by the evaluation function with the present information corresponding to the information set as an argument is lower than a criterion.

In an embodiment, a method includes: receiving ambient sound; determining if the ambient sound includes a siren; in accordance with determining that the ambient sound includes a siren, determining a first location associated with the siren; receiving a camera image; determining if the camera image includes a flashing light; in accordance with determining that the camera image includes a flashing light, determining a second location associated with the flashing light; 3D data; determining if the 3D data includes an object; in accordance with determining that the 3D data includes an object, determining a third location associated with the object; determining a presence of an emergency vehicle based on the siren, detected flashing light and detected object; determining an estimated location of the emergency vehicle based on the first, second and third locations; and initiating an action related to the vehicle based on the determined presence and location.

The disclosure relates to the intelligent vehicle driving technologies, and in particular, to a method for transferring control over a vehicle in an automotive electronic system, an automotive electronic system and a computer-readable storage medium for implementing the method, and a vehicle including the automotive electronic system. An automotive electronic system according to an aspect of the disclosure includes a first control domain and a second control domain that are communicatively coupled to each other, where the first control domain includes a first memory, a first domain controller, and a first computer program stored on the first memory and executable on the first domain controller, and the first computer program is executed to: generate, in response to an event that triggers a transfer of control over a vehicle, a request to transfer the control over the vehicle; and display, via the second control domain as a first transmission channel or a second transmission channel, the request to transfer the control over the vehicle, where the first transmission channel takes priority over the second transmission channel in being used to display the request to transfer the control over the vehicle, and where the second transmission channel is physically independent from the second control domain.

There is provided an information processing apparatus, an information processing method, and a program, with which an abnormality of a sensor mounted on a vehicle can be detected. The information processing apparatus includes a first data acquisition unit, a second data acquisition unit, a comparison unit, and a detection unit. The first data acquisition unit acquires first data including at least one of position information of an object present in a vehicle surrounding environment or road surface tilt information and a time stamp, the position information and the road surface tilt information being generated by using sensing data of a sensor mounted on a vehicle. The second data acquisition unit acquires second data including at least one of position information of an object present in a vehicle surrounding environment or road surface tilt information and a time stamp, the position information and the road surface tilt information being generated by using sensing data of a sensor other than that of the vehicle. The comparison unit compares the first data with the second data on the basis of the time stamp included in each of the first data and the second data. The detection unit detects an abnormality related to a sensor mounted on the vehicle on the basis of a comparison result by the comparison unit.

In an embodiment a device for controlling autonomous driving includes at least one sensor disposed in an autonomous driving vehicle configured to detect information necessary for autonomous driving of the autonomous driving vehicle and a controller configured to diagnose a fault of the at least one sensor during autonomous driving of the autonomous driving vehicle, upon determination that the fault has occurred in the at least one sensor, prohibit an autonomous driving related function corresponding to the fault of the at least one sensor, determine an alternative route, based on the prohibited function and control the autonomous driving according to the determined alternative route.

Monitoring driving safety information before a vehicle enters a curve or when the vehicle has entered the curve; obtaining a position of the vehicle in response to the driving safety information; obtaining curve information, where the curve information includes at least one of a position of a start point of the curve and a position of an end point of the curve; and controlling, based on the position of the vehicle and the curve information, the vehicle to stop at a position outside the curve.

A vehicle includes: an in-vehicle sensor that detects an environment around the vehicle; an autonomous driving unit that executes automated valet parking based on the detection result from the in-vehicle sensor; a detection unit that detects dirt or a raindrop attached to the in-vehicle sensor before the automated valet parking is started by the autonomous driving unit; and an informing unit that outputs information that suggests removing the dirt or the raindrop on the in-vehicle sensor in response to the detection unit detecting the dirt or the raindrop attached to the in-vehicle sensor.

According to one aspect, an autonomous vehicle that includes a lidar unit collects lidar point cloud data that includes false returns or false positives, and characterizes the data associated with the false returns or false positives as drivable or not drivable. The false returns or false positives may be phantom points that are not associated with actual objects which may pose collision risks. Analyzing lidar point cloud data to characterize false returns or false positives as either drivable or not drivable enables an autonomous vehicle to operate efficiently by not having to avoid non-existent collision risks. False positives may be indicated when a wet or icy road surface acts as a mirror which reflects objects, and when precipitation such as raindrops appear as objects. Characterizing such false positives as drivable facilitates the efficient operation of an autonomous vehicle as the autonomous vehicle may drive over a mirror and/or through precipitation.

An in-vehicle system includes a zone control unit and lower-level control units. The zone control unit includes: a power supply control unit configured to control power supply to each of the lower-level control units; a communication control unit configured to control communication with each of the lower-level control units; and an abnormality detection unit configured to detect presence or absence of an abnormality in each of the lower-level control units. In a case in which an abnormality for two or more of elements including a power supply current value, a communication response time, and a MAC address is detected in at least one of the lower-level control units, the abnormality detection unit is configured to recognize that the at least one of the lower-level control units is an unauthorized device.