OpenRadar: A Toolkit for Prototyping mmWave Radar Applications
Arjun Gupta, Dashiell Kosaka, Edwin Pan, Jingning Tang, Ruihao Yao,, Sanjay Patel
TL;DR
OpenRadar is an open-source toolkit that provides a modular interface for prototyping, researching, and benchmarking mmWave radar applications, facilitating sensor-agnostic development and integration with AI.
Contribution
It introduces a modular, sensor-agnostic software framework for mmWave radar processing, enabling flexible prototyping and benchmarking not previously available.
Findings
OpenRadar enables rapid prototyping of radar applications.
It supports benchmarking across different hardware platforms.
The toolkit accelerates AI integration with radar systems.
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.
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Taxonomy
TopicsRemote Sensing and LiDAR Applications · Soil Moisture and Remote Sensing · Target Tracking and Data Fusion in Sensor Networks