Raw ADC Data of 77GHz MMWave radar for Automotive Object Detection

In this dataset, we provided the raw analog-to-digital-converter (ADC) data of a 77GHz mmwave radar for the automotive object detection scenario. The overall dataset contains approximately 19800 frames of radar data as well as synchronized camera images and labels. For each radar frame, its raw data has 4 dimension: samples (fast time), chirps (slow time), transmitters, receivers. The experiment radar was assembled from the TI AWR 1843 board, with 2 horizontal transmit antennas and 4 receive antennas. With time-division multiplexing on all transmitters, it can form a 1D-MIMO virtual array with 8 elements. 

The data collection was done on the campus, road, and parking lot during the daytime, focusing on capturing the data for six main objects: pedestrian, cyclist, car, motorbike, bus, and truck. The collected objects can be either moving (mostly) or static. A single data collection run consisted of multiple objects listed above moving or being static at an average speed for 30 seconds in front of the testbed. More information in terms of dataset structure, format, tools, and radar configuration was described in README documentation.