1 |
Nobis, F., Shafiei, E., Karle, P., Betz, J. and Lienkamp, M.(2021), "Radar voxel fusion for 3D object detection", Applied Sciences, vol. 11, no. 12, p.5598.
DOI
|
2 |
Park, Y. S., Shin, Y. S., Kim, J. and Kim, A.(2021), "3D ego-motion estimation using low-cost mmWave radars via radar velocity factor for pose-graph SLAM", IEEE Robotics and Automation Letters, vol. 6, no. 4, pp.7691-7698.
DOI
|
3 |
Tilly, J. F., Haag, S., Schumann, O., Weishaupt, F., Duraisamy, B., Dickmann, J. and Fritzsche, M.(2020), "Detection and tracking on automotive radar data with deep learning", 2020 IEEE 23rd International Conference on Information Fusion(FUSION), pp.1-7.
|
4 |
Vivet, D., Checchin, P. and Chapuis, R.(2013), "Localization and mapping using only a rotating FMCW radar sensor", Sensors, vol. 13, no. 4, pp.4527-4552.
DOI
|
5 |
Vo, B. N. and Ma, W. K.(2006), "The Gaussian mixture probability hypothesis density filter", IEEE Transactions on Signal Processing, vol. 54, no. 11, pp.4091-4104.
DOI
|
6 |
Yang, J., Ni, P., Miao, J. and Ge, H.(2022), "Improving visual multi object tracking algorithm via integrating GM-PHD and correlation filter", IET(The Institution of Engineering and Technology) Image Processing, vol. 16, no. 5, pp.1349-1358.
DOI
|
7 |
Ester, M., Kriegel, H. P., Sander, J. and Xu, X.(1996), "A density-based algorithm for discovering clusters in large spatial databases with noise", ACM SIGKDD(The Association for Computing Machinery's Special Interest Group on Knowledge Discovery and Data Mining) International Conference on Knowledge Discovery & Data Mining(KDD), vol. 96, no. 34, pp.226-231.
|
8 |
Kellner, D., Barjenbruch, M., Klappstein, J., Dickmann, J. and Dietmayer, K.(2013), "Instantaneous ego-motion estimation using doppler radar", 16th International IEEE Conference on Intelligent Transportation System(ITSC 2013), pp.869-874.
|
9 |
Kramer, A., Stahoviak, C., Santamaria-Navarro, A., Agha-Mohammadi, A. A. and Heckman, C.(2020), "Radar-inertial ego-velocity estimation for visually degraded environments", In 2020 IEEE International Conference on Robotics and Automation(ICRA), pp.5739-5746.
|
10 |
Yoon, J. H., Hwang, Y., Choi, B. and Yoon, K. J.(2016), "Fusion of local and global detectors for PHD filter-based multi-object tracking", Journal of Institute of Control, Robotics and Systems, vol. 22, no. 9, pp.773-777.
DOI
|
11 |
Lundquist, C., Hammarstrand, L. and Gustafsson, F.(2010), "Road intensity based mapping using radar measurements with a probability hypothesis density filter", IEEE Transactions on Signal Processing, vol. 59, no. 4, pp.1397-1408.
|
12 |
Schumann, O., Hahn, M., Scheiner, N., Weishaupt, F., Tilly, J. F., Dickmann, J. and Wohler, C.(2021), "RadarScenes: A real-world radar point cloud data set for automotive applications", 2021 IEEE 24th International Conference on Information Fusion(FUSION), pp.1-8.
|
13 |
Vivet, D., Checchin, P., Chapuis, R., Faure, P., Rouveure, R. and Monod, M. O.(2012), "A mobile ground-based radar sensor for detection and tracking of moving objects", EURASIP(European Association For Signal Processing) Journal on Advances in Signal Processing, vol. 2012, no. 1, pp.1-13.
DOI
|
14 |
Cen, S. H. and Newman, P.(2019), "Radar-only ego-motion estimation in difficult settings via graph matching", In 2019 International Conference on Robotics and Automation(ICRA), pp.298-304.
|
15 |
Cen, S. H. and Newman, P.(2018), "Precise ego-motion estimation with millimeter-wave radar under diverse and challenging conditions", In 2018 IEEE International Conference on Robotics and Automation(ICRA), pp.6045-6052.
|