DEMO: Beyond Doppler - Demonstrating Phase-Based Ego-Speed Estimation on Embedded mmWave Radar

In this demonstration we introduce a novel approach to ego-speed estimation using a single-chip Commercial-Off-the-Shelf (COTS) millimeter-wave (mmWave) radar. Contrary to previous approaches that are cross-modal learning based and dependent on the computationally expensive nature of DNN's, our proposed approach RadarTrack is based on a phase-based approach to speed estimation. Our approach successfully overcomes the drawbacks of traditional ego-speed estimation methods that are doppler-based and static environment dependent. RadarTrack is intended to support low-latency execution on embedded systems such that it can be used in real-time applications where efficiency and speed are equally important. We have also created a real-time visualizer which is capable of recording the phasebased ego-speed together with state-of-the-art doppler-based speed estimation and comparatively demonstrate how phasebased ego-speed estimation can better record the speed of an ego-vehicle.