Searched for: subject%3A%22robot%22
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Palffy, A. (author), Pool, E.A.I. (author), Baratam, Srimannarayana (author), Kooij, J.F.P. (author), Gavrila, D. (author)
Next-generation automotive radars provide elevation data in addition to range-, azimuth- and Doppler velocity. In this experimental study, we apply a state-of-the-art object detector (PointPillars), previously used for LiDAR 3D data, to such 3+1D radar data (where 1D refers to Doppler). In ablation studies, we first explore the benefits of...
journal article 2022
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Domhof, J.F.M. (author), Kooij, J.F.P. (author), Gavrila, D. (author)
We address joint extrinsic calibration of lidar, camera and radar sensors. To simplify calibration, we propose a single calibration target design for all three modalities, and implement our approach in an open-source tool with bindings to Robot Operating System (ROS). Our tool features three optimization configurations, namely using error...
journal article 2021
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Schulz, Yannick (author), Mattar, Avinash Kini (author), Hehn, T.M. (author), Kooij, J.F.P. (author)
This work proposes to use passive acoustic perception as an additional sensing modality for intelligent vehicles. We demonstrate that approaching vehicles behind blind corners can be detected by sound before such vehicles enter in line-of-sight. We have equipped a research vehicle with a roof-mounted microphone array, and show on data...
journal article 2021
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Zaffar, M. (author), Garg, Sourav (author), Milford, Michael (author), Kooij, J.F.P. (author), Flynn, David (author), McDonald-Maier, Klaus (author), Ehsan, Shoaib (author)
Visual place recognition (VPR) is the process of recognising a previously visited place using visual information, often under varying appearance conditions and viewpoint changes and with computational constraints. VPR is related to the concepts of localisation, loop closure, image retrieval and is a critical component of many autonomous...
journal article 2021
document
Palffy, A. (author), Dong, Jiaao (author), Kooij, J.F.P. (author), Gavrila, D. (author)
This letter presents a novel radar based, single-frame, multi-class detection method for moving road users ( pedestrian, cyclist, car ), which utilizes low-level radar cube data. The method provides class information both on the radar target- and object-level. Radar targets are classified individually after extending the target features with a...
journal article 2020
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