OpenRadar: A Toolkit for Prototyping mmWave Radar Applications

December 28, 2019 · Entered Twilight · 🏛 arXiv.org

"Last commit was 5.0 years ago (≥5 year threshold)"

Evidence collected by the PWNC Scanner

Repo contents: .github, .gitignore, .readthedocs.yml, LICENSE, Presense Applied Radar, README.md, demo, docs, mmwave, requirements.txt, scripts, setup.py

Authors Arjun Gupta, Dashiell Kosaka, Edwin Pan, Jingning Tang, Ruihao Yao, Sanjay Patel arXiv ID 1912.12395 Category eess.SP: Signal Processing Cross-listed cs.MM Citations 1 Venue arXiv.org Repository https://github.com/presenseradar/openradar ⭐ 833 Last Checked 2 months ago

Abstract

Millimeter-Wave (mmWave) radar sensors are gaining popularity for their robust sensing and increasing imaging capabilities. However, current radar signal processing is hardware specific, which makes it impossible to build sensor agnostic solutions. OpenRadar serves as an interface to prototype, research, and benchmark solutions in a modular manner. This enables creating software processing stacks in a way that has not yet been extensively explored. In the wake of increased AI adoption, OpenRadar can accelerate the growth of the combined fields of radar and AI. The OpenRadar API was released on Oct 2, 2019 as an open-source package under the Apache 2.0 license. The codebase exists at https://github.com/presenseradar/openradar.