Abstract:
An object tracking system including a plurality of electronic devices and a server platform is provided. The server platform generates a tracking message based on received event message, and sends the tracking message to at least one of the electronic devices located within a first predetermined range corresponding to the received event message. When one of the electronic devices detects a vehicle matched with one or more vehicle features of the event message according to the received tracking message, the one of the electronic devices generates and sends a notification message to the server platform.
Abstract:
The present disclosure provides an event reconstruction system including a communication unit, a key information integration device, a storage unit and a computation unit. The key information integration device receives key information from a plurality of image capturing device through the communication unit. The key information includes a first identification code and a second identification code retrieved from a first image capturing device and a second image capturing device respectively. The storage unit stores the key information. The computation unit extracts the key information and confirms the second image capturing device transmitting the second identification code according to the first identification code and the second identification code in the key information. The key information integration device sends a retrieving request to the second image capturing device through the communication unit and receives a video file corresponding to the second identification code from the second image capturing device.
Abstract:
An object tracking system including a plurality of electronic devices and a server platform is provided. The server platform generates a tracking message based on received event message, and sends the tracking message to at least one of the electronic devices located within a first predetermined range corresponding to the received event message. When one of the electronic devices detects a vehicle matched with one or more vehicle features of the event message according to the received tracking message, the one of the electronic devices generates and sends a notification message to the server platform.
Abstract:
A vehicle, a vehicle positioning system and a vehicle positioning method are provided. The vehicle positioning system includes a 2D image sensor, a 3D sensor and a processor. The 2D image sensor is configured for obtaining 2D image data. The 3D sensor is configured for obtaining 3D point cloud data. The processor is coupled to the 2D image sensor and the 3D sensor, and configured for merging the 2D image data and the 3D point cloud data to generate 3D image data, identifying at least one static object from the 2D image data, obtaining 3D point cloud data of the static object from the 3D image data based on each one of the at least one static object, and calculating a vehicle relative coordinate of the vehicle based on the 3D point cloud data of the static object.
Abstract:
An object labeling system includes a first object labeling module, a second object label model, a label integrating module and an inter-frame tracking module. The first object label module is configured to generate a first object labeling result according to a first 2D image, wherein the first 2D image is one of the frames of a 2D video. The second object labeling module is configured to generate a second 2D image according to a 3D information, and to generate a second object labeling result according to the 3D information and the second 2D image. The label integrating is configured to generate a third object labeling result according to the first object labeling result and the second object labeling result. The inter-frame tracking module is configured to perform an inter-frame object labeling process according to the third object labeling result to generate a fourth object labeling result.
Abstract:
A vehicle, a vehicle positioning system and a vehicle positioning method are provided. The vehicle positioning system includes a 2D image sensor, a 3D sensor and a processor. The 2D image sensor is configured for obtaining 2D image data. The 3D sensor is configured for obtaining 3D point cloud data. The processor is coupled to the 2D image sensor and the 3D sensor, and configured for merging the 2D image data and the 3D point cloud data to generate 3D image data, identifying at least one static object from the 2D image data, obtaining 3D point cloud data of the static object from the 3D image data based on each one of the at least one static object, and calculating a vehicle relative coordinate of the vehicle based on the 3D point cloud data of the static object.
Abstract:
A system for detecting a condition of a driver is provided, wherein the system includes a first electrical device, a second electrical device, a regulation unit and an alert unit. The first electrical device detects an initial vehicle angle of a vehicle, the second electrical device detects an initial head angle of the driver and the regulation unit calculates a regulation angle based on the initial head angle and the initial vehicle angle. Additionally, the first electrical device detects a current vehicle angle of the vehicle, the second electrical device detects a current head angle of the driver and the regulation unit calculates a regulated head angle based on the current head angle and the regulation angle. Furthermore, the alert unit calculates a difference value between the regulated head angle and the current vehicle angle and generates a warning message if the difference value is larger than a threshold.
Abstract:
A method for sensing a traffic environment for use in an electronic device is provided. The method includes: generating local object information by sensing an environment within a first sensing range of the electronic device, wherein the local object information at least includes first geographical distribution information of local objects within the first sensing range; receiving external object information transmitted by at least one node, wherein the external object information includes at least second geographical distribution information of external objects within a second sensing range of the node; and generating object integration information according to the local object information and the external object information.
Abstract:
A 3D image labeling device and a 3D image labeling method are provided. The 3D image labeling device includes a point cloud cluster module, a projection module, an integration module and a point cloud recovery module. The point cloud cluster module clusters multiple points of a 3D unlabeled image as one or more first point clusters according to a 3D unlabeled image and a cluster algorithm to generate a 3D clustered image. The projection module generates a first 2D image with first objects according to the 3D clustered image, wherein each first point cluster corresponds to one of the first objects. The integration module labels the first objects of the first 2D image according to one or more object frames of a 2D labeled image to generate a second 2D image. The point cloud recovery module generates a 3D labeled image according to the second 2D image.
Abstract:
A system for detecting a condition of a driver is provided, wherein the system includes a first electrical device, a second electrical device, a regulation unit and an alert unit. The first electrical device detects an initial vehicle angle of a vehicle, the second electrical device detects an initial head angle of the driver and the regulation unit calculates a regulation angle based on the initial head angle and the initial vehicle angle. Additionally, the first electrical device detects a current vehicle angle of the vehicle, the second electrical device detects a current head angle of the driver and the regulation unit calculates a regulated head angle based on the current head angle and the regulation angle. Furthermore, the alert unit calculates a difference value between the regulated head angle and the current vehicle angle and generates a warning message if the difference value is larger than a threshold.