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In this paper, we present LiRaNet, a novel end-to-end trajectory prediction method which utilizes radar sensor information along with widely used lidar and high definition (HD) maps.
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S. Casas, W. Luo, and R. Urtasun · 2018
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B. Yang, W. Luo, and R. Urtasun · 2018
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S. Casas, C. Gulino, R. Liao, and R. Urtasun · 2019
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J. Hong, B. Sapp, and J. Philbin · 2019
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Multixnet: Multiclass multistage multimodal motion prediction, 2020
N. Djuric, H. Cui, Z. Su, S. Wu, H. Wang, F.-C. Chou, L. S. Martin, S. Feng, R. Hu, Y. Xu, A. Dayan, S. Zhang, B. C. Becker, G. P. Meyer, C. V-Gonzalez, and C. K. Wellington · 2020
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Stinet: Spatio-temporal-interactive network for pedestrian detection and trajectory prediction
Z. Zhang, J. Gao, J. Mao, Y. Liu, D. Anguelov, and C. Li · 2020
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Multiple futures prediction
C. Tang and R. R. Salakhutdinov · 2019
Cited alongside, same era.
PointPillars: Fast encoders for object detection from point clouds
A. H. Lang, S. Vora, H. Caesar, L. Zhou, J. Yang, and O. Beijbom · 2019
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PointRCNN: 3D object proposal generation and detection from point cloud
S. Shi, X. Wang, and H. Li · 2019
Cited alongside, same era.
End-to-end multi-view fusion for 3D object detection in LiDAR point clouds
Y. Zhou, P. Sun, Y. Zhang, D. Anguelov, J. Gao, T. Ouyang, J. Guo, J. Ngiam, and V. Vasudevan · 2019
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STD: Sparse-to-dense 3D object detector for point cloud
Z. Yang, Y. Sun, S. Liu, X. Shen, and J. Jia · 2019
Cited alongside, same era.
Multimodal trajectory predictions for autonomous driving using deep convolutional networks
H. Cui, V. Radosavljevic, F.-C. Chou, T.-H. Lin, T. Nguyen, T.-K. Huang, J. Schneider, and N. Djuric · 2019
Cited alongside, same era.
Distant vehicle detection using radar and vision
S. Chadwick, W. Maddetn, and P. Newman · 2019
Cited alongside, same era.
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Laserflow: Efficient and probabilistic object detection and motion forecasting
G. P. Meyer, J. Charland, S. Pandey, A. Laddha, C. V-Gonzalez, and C. K. Wellington · 2020
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Rv-fusenet: Range view based fusion of time-series lidar data for joint 3d object detection and motion forecasting, 2020
A. Laddha, S. Gautam, G. P. Meyer, and C. V-Gonzalez · 2020
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Radarnet: Exploiting radar for robust perception of dynamic objects
B. Yang, R. Guo, M. Liang, S. Casas, and R. Urtasun · 2020
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Covernet: Multimodal behavior prediction using trajectory sets
T. Phan-Minh, E. C. Grigore, F. A. Boulton, O. Beijbom, and E. M. Wolff · 2020
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A deep learning-based radar and camera sensor fusion architecture for object detection, 2020
F. Nobis, M. Geisslinger, M. Weber, J. Betz, and M. Lienkamp · 2020
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Pnpnet: End-to-end perception and prediction with tracking in the loop
M. Liang, B. Yang, W. Zeng, Y. Chen, R. Hu, S. Casas, and R. Urtasun · 2020
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Cuda, release: 10.2.89, 2020
NVIDIA, P. Vingelmann, and F. H. Fitzek · 2020
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Tensorrt, release: 7.1, 2020
NVIDIA · 2020
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