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Millimeter wave radar is becoming increasingly popular as a sensing modality for robotic mapping and state estimation.
arXiv:1904.11476 [cs] URL http://arxiv.org/abs/1904.11476
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In: 2018 IEEE International Conference on Robotics and Automation (ICRA) . Brisbane, QLD: IEEE
Cen SH and Newman P (2018) Precise Ego-Motion Estimation with Millimeter-Wave Radar Under Diverse and Challenging Conditions · 2018
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In: 2020 IEEE International Conference on Robotics and Automation (ICRA)
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URL https://doi.org/10.1145/3386901.3388945
Lu CX, Rosa S, Zhao P, Wang B, Chen C, Stankovic JA, Trigoni N and Markham A (2020) See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar : 14 10.1145/3386901.3388945 · 2020
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In: IEEE Int. Conf. Robot. Autom. (ICRA)
Delmerico J, Cieslewski T, Rebecq H, Faessler M and Scaramuzza D (2019) Are we ready for autonomous drone racing? the UZH-FPV drone racing dataset · 2019
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Caesar H, Bankiti V, Lang AH, Vora S, Liong VE, Xu Q, Krishnan A, Pan Y, Baldan G and Beijbom O (2020) nuscenes: A multimodal dataset for autonomous driving
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Schuster F, Wörner M, Keller CG, Haueis M and Curio C (2016b) Robust localization based on radar signal clustering
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Xiaoxuan Lu C, Risqi Saputra MU, Zhao P, Almalioglu Y, B de Gusmao PP, Chen C, Sun K, Trigoni N and Markham A (2020) milliEgo: Single-chip mmWave Radar Aided Egomotion Estimation via Deep Sensor Fusion mmWave radar IMU 6-DoF Pose Target Use Cases 10.1145/3384419.3430776
2020
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