Abstract: The present disclosure provides a method for detecting a lane line, a vehicle and a computing device. The method includes: generating an optical flow image in accordance with a series of event data from a dynamic vision sensor coupled to a vehicle; determining an initial search region including a start point of the lane line in accordance with the optical flow image; determining a center of gravity of the initial search region; determining a new search region through an offsetting operation on the center of gravity; determining a center of gravity of the new search region; repeating the steps of determining a new search region and determining a center of gravity of the new search region iteratively to acquire centers of gravity of a plurality of search regions; and determining the lane line in accordance with the centers of gravity of the plurality of search regions.

Abstract: The present disclosure provides an image sensor, which includes: a pixel collection circuit array including a plurality of pixel collection circuits, each pixel collection circuit being configured to monitor a change in a light intensity in a field of view and enter a triggered state when the change in the light intensity meets a predetermined condition; a global control unit configured to reset the pixel collection circuit array when the image sensor is powered on, and control the pixel collection circuit array in a stable initial state to operate; a photo current detection unit configured to determine whether there is the change in the light intensity, and control an operating state of at least one pixel collection circuit in accordance with the detected change in the light intensity; and a reading unit configured to respond to the pixel collection circuit in the triggered state and output corresponding address information.

Abstract: The present disclosure provides a method for calculating a TTC for an object and a vehicle for a calculation device, including: generating a timestamp matrix in accordance with a series of event data from a DVS coupled to the vehicle; scanning events in the timestamp matrix in a predetermined scanning direction, so as to calculate a time gradient of each event in the predetermined scanning direction; creating at least one subset consisting of a first quantity of consecutive events in the predetermined scanning direction and each with a positive time gradient; calculating a spatial position of each event in each subset in accordance with intrinsic and extrinsic parameter matrices of the DVS; and calculating the TTC in accordance with the spatial position and the timestamp of each event in the subset. The present disclosure further provides the calculation device and a corresponding vehicle.

Abstract: The present disclosure provides a target tracking method to be executed by a computing device, including: generating an optical flow image in accordance with a series of event data from a dynamic vision sensor, each event being triggered by movement of a target object relative to the dynamic vision sensor; determining a movement speed and a movement direction of at least one target object in a current image frame in accordance with the optical flow image; predicting a position of a corresponding target object in a next image frame in accordance with the movement direction and the movement speed; and when a predicted position is within a range of a field of view, taking the corresponding target object as a to-be-tracked target. The present disclosure further provides a computing device.

Abstract: The present disclosure provides an anti-flashlight circuit assembly and an image sensor. The anti-flashlight circuit assembly includes a plurality of flashlight detection units. Each flashlight detection unit includes: a first photoelectric detection module configured to monitor an optical signal in real time and output a corresponding electric signal; a first triggering generation module configured to generate a first triggering generation signal when the electric signal exceeds a predetermined threshold, and output the first triggering generation signal to a first interface logic module; and the first interface logic module configured to output a triggering state signal upon the receipt of the first triggering generation signal.

Abstract: The present disclosure provides an optical flow calculation method for a computing device, including: acquiring an event data flow with a predetermined duration from a DVS, the event data flow including a coordinate position and a timestamp of a triggered event; generating a timestamp matrix in accordance with the coordinate position and the timestamp of the triggered event; scanning elements in the timestamp matrix in a predetermined scanning direction, so as to determine at least one intermediate point in each element in accordance with a value and a gradient of the element in the predetermined scanning direction; and calculating a distance between adjacent intermediate points and a gradient direction, and generating an optical flow matrix in accordance with a calculation result. The present disclosure further provides the computing device.

Abstract: The present disclosure provides an image sensor and an image collection system. The image sensor includes: a pixel collection circuitry array including a plurality of pixel collection circuitries, each pixel collection circuitry being configured to monitor a change in a light intensity in a field of view and enter a triggered state when the change in the light intensity meets a predetermined condition; a boundary triggered pixel determination array configured to determine a boundary triggered pixel collection circuitry in the pixel collection circuitries in the triggered state; and a reading unit configured to respond to the boundary triggered pixel collection circuitry and output address information about the boundary triggered pixel collection circuitry.

Abstract: The present disclosure provides a data processing method and a computing device. The data processing method is adapted to process an event data flow from a DVS to acquire image frames representing changes in a scene within different time periods. The event data flow includes coordinates of each pixel whose brightness has changed. The data processing method includes: segmenting the event data flow into a plurality of data slices at a predetermined time interval; and selecting a first quantity of data slices sequentially and performing weighted calculation on the first quantity of data slices to generate the image frames representing the changes in the scene within different time periods.

Abstract: The present disclosure provides a pixel collection circuit and an image sensor. The pixel collection circuit includes: a photoelectric detection module configured to monitor an optical signal in real time and output a corresponding electric signal; a triggering generation module configured to generate a triggering generation signal when a change frequency of the electric signal exceeds a predetermined frequency threshold and an amplitude of the electric signal meets a predetermined condition, and output the triggering generation signal to the interface logic module; and the interface logic module configured to output a triggering state signal upon the receipt of the triggering generation signal.

Abstract: The present disclosure provides a pixel collection circuit and an optical flow sensor including the pixel collection circuit. The pixel collection circuit at least includes a light intensity detector, a first state storage module, a second state storage module, a light intensity signal collection and storage module, and a time information storage module.