Abstract:
A method of detecting an abnormal driving includes receiving a RF signal transmitted from a vehicle in front; performing digital down conversion on the RF signal to obtain a baseband digital signal; performing frequency shift detection on the baseband digital signal to obtain frequency shift between the received RF signal and the RF signal transmitted from the vehicle in front; and determining that the abnormal driving condition in front exists response to determining that the frequency shift has reached a set threshold.
Abstract:
A method of detecting an abnormal driving includes receiving a RF signal transmitted from a vehicle in front; performing digital down conversion on the RF signal to obtain a baseband digital signal; performing frequency shift detection on the baseband digital signal to obtain frequency shift between the received RF signal and the RF signal transmitted from the vehicle in front; and determining that the abnormal driving condition in front exists response to determining that the frequency shift has reached a set threshold.
Abstract:
A method for detecting and labeling a target object in a 2D image includes receiving a plurality of 2D images from a visual sensor, manually marking points of the target object on each of the 2D images, generating from the 2D images a 3D world coordinate system of the environment surrounding the target object, mapping each of the marked points on the 2D images to the 3D world coordinate system using a simultaneous localization and mapping (SLAM) engine, automatically generating a 3D bounding box covering all the marked points mapped to the 3D world coordinate system, mapping the 3D bounding box to each of the 2D images, generating a label for the target object on each of the 2D images using a machine learning object detection model, and training the machine learning object detection model based on the generated label for the target object.
Abstract:
A method and an apparatus for generating a road network are disclosed. The method for generating a road network comprises: aggregating a plurality of grid cells partitioned in advance on a trajectory map based on trajectories in each grid cell of the plurality of grid cells to form level-1 regions; and generating a link of the road network by merging a level-1 region having two valid neighbors with its neighbor level-1 regions having two valid neighbors.
Abstract:
Dispatching messages in a moving object, in one aspect, may include receiving a description of a spatial area. A hierarchical tree representation of the spatial area may be generated. The hierarchical tree representation may comprise nodes, wherein a child node represents a sub-region of a region represented by a parent node of the child node. Moving features may be associated with each of the nodes, the moving features comprising whether the node is cacheable, whether the node covers an unpartitioned area, an active object list in an area covered by the node, and a latest position associated with an object in the active object list. Data from the moving object may be dispatched based on the hierarchical tree representation.
Abstract:
A method and an apparatus for generating a road network are disclosed. The method for generating a road network comprises: aggregating a plurality of grid cells partitioned in advance on a trajectory map based on trajectories in each grid cell of the plurality of grid cells to form level-1 regions; and generating a link of the road network by merging a level-1 region having two valid neighbors with its neighbor level-1 regions having two valid neighbors.
Abstract:
A method and apparatus for determining correlation between input and output messages in a system under test (SUT) is provided in the present invention. The SUT is provided with preset watch-points, and the running of the SUT is detected by triggering watch-points in a test platform at its run time. The method includes the steps of: upon detecting a message input operation, finding a variable that stores an input message, associating the variable with a tag of the input message, and adding a watch-point for the variable in the test platform; as well as, upon detecting network output operation, finding a variable that stores an output message of the SUT; and determining correlation between the output message and an input message according to a tag associated with the variable that stores the output message.
Abstract:
A method and apparatus for determining correlation between input and output messages in a system under test (SUT) is provided in the present invention. The SUT is provided with preset watch-points, and the running of the SUT is detected by triggering watch-points in a test platform at its run time. The method includes the steps of: upon detecting a message input operation, finding a variable that stores an input message, associating the variable with a tag of the input message, and adding a watch-point for the variable in the test platform; as well as, upon detecting network output operation, finding a variable that stores an output message of the SUT; and determining correlation between the output message and an input message according to a tag associated with the variable that stores the output message.
Abstract:
The present invention provides a method, apparatus, and non-transitory article of manufacture embodying computer readable instructions for scheduling discrete event simulation. One embodiment of the present invention is a method for scheduling discrete event simulation. The method includes: extracting two or more event types in the discrete event simulation in response to having loaded the discrete event simulation; constructing a correlation graph used for the discrete event simulation based on the two or more event types; and scheduling events that are classified into the two or more event types according to the correlation graph wherein each node in the correlation graph describes one of the two or more event types, and an edge in the correlation graph describes the creation or dependency relationship between the two or more event types. Other embodiments of the present invention provide an apparatus and computer program product for scheduling discrete event simulation.
Abstract:
Embodiments of the present invention provide information processing systems and methods for proliferating testing data based on sample testing data. In one embodiment, a difference is determined by comparing a desired query result to a query result acquired by executing a query statement on sample testing data. Sample testing data can then be proliferated based, at least in part, on the difference and data generation constraint conditions.