Systems and Methods for Pipelined Processing of Sensor Data Using Hardware

An image processing system, comprising:

• a field programmable gate array (FPGA) device coupled to one or more sensors that are configured to obtain sensor data corresponding to an image frame, the FPGA device comprising one or more memory devices that are configured to store a representation of a machine-learned model that detects or classifies one or more objects indicated within the sensor data, the FPGA device further configured to receive a plurality of increments of the sensor data as each increment of the sensor data becomes available and to implement one or more image processing pipelines for pre-processing the sensor data,
• wherein the one or more image processing pipelines include a first plurality of logic blocks and interconnectors programmed to extract one or more features from one or more increments of the plurality of increments of the sensor data and generate first input data, each increment of the sensor data corresponding to a portion of the image frame, and
• wherein the first input data is input as one or more increments to one or more layers of the machine-learned model, the machine-learned model processing each increment of the first input data as the first input data is received at the one or more layers, to provide an output indicative of a detection or classification of the one or more objects indicated within the sensor data.