Scenario 34 is collected in an outdoor wireless environment representing a two-way city street. The DeepSense Testbed is deployed in this environment where the two units are placed on the opposite sides of the street. The transmitter (Unit 2) constantly transmits using one antenna element of the phased array to realize omnidirectional transmission. The receiver continuously scans the surrounding environment using a receive mmWave beam steering codebook of 64 beams and by measuring the receive power with each beam. The average sampling rate is 10 samples/s. Each data sample includes an RGB image, a 64-element receive power vector, a 3D LiDAR image, and an FMCW radar signal, all collected by Unit 1. Please refer to the detailed description of the testbed presented here.

College Ave: It is a two-way street with 2 lanes, a width of 13 meters, and a vehicle speed limit of 25mph (40.6 km per hour). It is worth mentioning here that since this is a city street, vehicles of various sizes and travel speeds pass in both directions, along with pedestrians walking on both sides of the street. This creates a diverse pool of blockages for the LOS link between the transmitter and receiver, which results in diverse received power maps (i.e., diverse power fluctuations across all 64 beam over time instances) and a diverse dataset.