Abstract: Provided are a method, an apparatus and a device for controlling a collaborative lane change. The method includes: receiving a lane change request transmitted by a first vehicle, where the lane change request includes vehicle information of the first vehicle; and transmitting a first control instruction to the first vehicle according to the vehicle information of the first vehicle and vehicle information of other vehicles in a target lane to which the first vehicle requests to change, so as to cause the first vehicle to perform a lane change according to the first control instruction, thereby improving the traffic efficiency and safety of the vehicle during the lane change process.

Abstract: Provided are a method, an apparatus and a device for controlling a cooperative intersection. The method includes: receiving a passage request for intersection transmitted by a first vehicle, the passage request for intersection comprises vehicle information of the first vehicle; transmitting a traffic directing instruction to the first vehicle according to the vehicle information of the first vehicle to cause the first vehicle pass the intersection according to the traffic directing instruction. The passage request for intersection of the host vehicle is received through a traffic control unit, and a traffic directing instruction is transmitted to the host vehicle according to the vehicle information of the host vehicle in the intersection request. The traffic directing instruction is transmitted through V2X communication, which can finely direct the driving lane, follow-up driving, passage time, stop time and stop location for each vehicle, thereby making the intersection traffic safer and more efficient.

Abstract: Provided are a method, an apparatus and a device for obstacle in lane warning. The method includes receiving information of an obstacle in a front lane of a first vehicle, where the first vehicle is in front of a second vehicle; and performing an obstacle warning on the second vehicle according to the information of the obstacle. The second vehicle receives the information of the obstacle, and performs the obstacle warning on the second vehicle according to the information of the obstacle to prevent the second vehicle from failing to detect the obstacle in a blind area when the sight of the second vehicle is blocked by the first vehicle; the front vehicle notifies the subsequent vehicle of the obstacle in the lane immediately, which facilitates the driver to handle the situation in advance, improves the vehicle's ability to sense the obstacle and prevents the collision from occurring.

Abstract: Embodiments of the present disclosure provide a method, an apparatus and a device for an illegal vehicle warning. The method includes: detecting an illegal vehicle in a preset area; and performing the illegal vehicle warning on a target vehicle entering the preset area according to vehicle information of a detected illegal vehicle in the preset area. In the embodiments of the present disclosure, the traffic control unit detects the illegal vehicle in the preset area, and the illegal vehicle warning is performed on the target vehicle entering the preset area according to the vehicle information of the detected illegal vehicle in the preset area, thereby avoiding or mitigating the collision of the target vehicle with the illegal vehicle, and improving the traffic safety of the target vehicle.

Abstract: The present application discloses a method and apparatus for detecting a vehicle contour based on point cloud data. The method includes: acquiring to-be-trained point cloud data; generating label data corresponding to points in the to-be-trained point cloud data in response to labeling on the points in the to-be-trained point cloud, the labeling used to indicate whether each of the points in the to-be-trained point cloud data is on a vehicle contour; training a fully convolutional neural network model based on the points in the to-be-trained point cloud data and the label data corresponding to the points in the to-be-trained point cloud data, to obtain a vehicle detection model; and acquiring to-be-detected point cloud data, and obtaining a detection result corresponding to each to-be-detected point in the to-be-detected point cloud data based on the vehicle detection model. The implementation may achieve an accurate detection of the vehicle contour.

Abstract: The present application discloses a combinatory sensor apparatus. The apparatus includes a sensor mounting frame and at least one sensor; the sensor mounting frame includes a sensor mounting base plate and at least one sensor support component, the sensor mounting base plate is mounted on a top of a driverless vehicle, and the at least one sensor support component is mounted on the sensor mounting base plate for supporting the at least one sensor; and the at least one sensor includes a global positioning system antenna and/or a laser radar. This implementation guarantees the consistency of sensor installation locations.

Abstract: The present disclosure provides an autonomous navigation method and system, and a map modeling method and system. The autonomous navigation method comprises: controlling an unmanned aerial vehicle to take off, and collecting videos of a scene corresponding to the unmanned aerial vehicle at each collection time point; obtaining feature points in the videos of the scene corresponding to each collection time point; generating a flight path of the unmanned aerial vehicle according to the feature points in the videos of the scene corresponding to each collection time point; generating a first map model according to the flight path of the unmanned aerial vehicle and the videos of the scene corresponding to each collection time point; and carrying out autonomous navigation on the unmanned aerial vehicle according to the first map model.

Abstract: An electronic device case which includes a bottom shell, a plurality of side shells, a first hanging lug and a second hanging lug is disclosed. The side shells are connected to the bottom shell. The first hanging lug is located on one of the side shells. The first hanging lug includes a first top plate, a first supporting plate, a first hole and a first arch bridge part. The first supporting plate is connected to the first top plate. The first hole is located on the first top plate. The first arch bridge part supports the first top plate. The second hanging lug is located on the bottom shell. The second hanging lug includes a second top plate and a second supporting plate. The second supporting plate is connected to the second top plate.

Abstract: The present disclosure provides an autonomous navigation method and system, and a map modeling method and system. The autonomous navigation method comprises: controlling an unmanned aerial vehicle to take off, and collecting videos of a scene corresponding to the unmanned aerial vehicle at each collection time point; obtaining feature points in the videos of the scene corresponding to each collection time point; generating a flight path of the unmanned aerial vehicle according to the feature points in the videos of the scene corresponding to each collection time point; generating a first map model according to the flight path of the unmanned aerial vehicle and the videos of the scene corresponding to each collection time point; and carrying out autonomous navigation on the unmanned aerial vehicle according to the first map model.

Abstract: The present application discloses a method and apparatus for detecting a vehicle contour based on point cloud data. The method includes: acquiring to-be-trained point cloud data; generating label data corresponding to points in the to-be-trained point cloud data in response to labeling on the points in the to-be-trained point cloud, the labeling used to indicate whether each of the points in the to-be-trained point cloud data is on a vehicle contour; training a fully convolutional neural network model based on the points in the to-be-trained point cloud data and the label data corresponding to the points in the to-be-trained point cloud data, to obtain a vehicle detection model; and acquiring to-be-detected point cloud data, and obtaining a detection result corresponding to each to-be-detected point in the to-be-detected point cloud data based on the vehicle detection model. The implementation may achieve an accurate detection of the vehicle contour.

Abstract: An electronic device case which includes a bottom shell, a plurality of side shells, a first hanging lug and a second hanging lug is disclosed. The side shells are connected to the bottom shell. The first hanging lug is located on one of the side shells. The first hanging lug includes a first top plate, a first supporting plate, a first hole and a first arch bridge part. The first supporting plate is connected to the first top plate. The first hole is located on the first top plate. The first arch bridge part supports the first top plate. The second hanging lug is located on the bottom shell. The second hanging lug includes a second top plate and a second supporting plate. The second supporting plate is connected to the second top plate.

Abstract: The invention relates to customization of multi-media capturing devices and more particularly a method which uses multi-media to configure a multi-media capturing device. First, running a software application installed in a configuring device to encode configuration information to a configuring image or video or audio in the configuring device on the basis of user input or by automatic detection of the software application or by obtaining information automatically detected by the configured device; outputting to the configured device; finally the configured device decoding the configured image or video or audio and undergoing automatic configuration according to the configuration information. The invention does not require the configured device and the configuring device to have other specialized communication interface devices.

Abstract: The present invention relates to data security, in particular relates to data protection for storage data, and more particularly relates to encrypting and decrypting process to data on a removable non-volatile storage in an enterprise network. There is provided an apparatus and a method for protecting storage data of a computing apparatus within an enterprise network system, the method comprising: intercepting data transferred between an application of the computing apparatus and a storage; determining whether the data intercepted at the data transfer interception step is confidential data; obtaining a key automatically generated for the confidential data; and encrypting and decrypting the confidential data with the obtained key.