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Virtual testing is a crucial task to ensure safety in autonomous driving, and sensor simulation is an important task in this domain.
Pointrend: Image segmentation as rendering
Kirillov, A., Wu, Y., He, K., and Girshick, R. B. (2019) · 1912
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Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Sun, P., Kretzschmar, H., Dotiwalla, X., Chouard, A., Patnaik, V., Tsui, P., Guo, J., Zhou, Y., Chai, Y., Caine, B., Vasudevan, V., Han, W., Ngiam, J., Zhao, H., Timofeev, A., Ettinger, S., Krivokon, M., Gao, A., Joshi, A., Zhao, S., Cheng, S., Zhang, Y., Shlens, J., Chen, Z., and Anguelov, D. (2020) · 1912
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LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
Manivasagam, S., Wang, S., Wong, K., Zeng, W., Sazanovich, M., Tan, S., Yang, B., Ma, W.-C., and Urtasun, R. (2020) · 2006
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Generative adversarial networks
Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y. (2014) · 2014
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., and Brox, T. (2015) · 2015
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Virtual worlds as proxy for multi-object tracking analysis
Gaidon, A., Wang, Q., Cabon, Y., and Vig, E. (2016) · 2016
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Johnson, J., Alahi, A., and Fei-Fei, L. (2016) · 2016
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CARLA: An Open Urban Driving Simulator
Dosovitskiy, A., Ros, G., Codevilla, F., Lopez, A., and Koltun, V. (2017) · 2017
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AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
Shah, S., Dey, D., Lovett, C., and Kapoor, A. (2017) · 2017
Cited alongside, same era.
Sparsity invariant cnns
Uhrig, J., Schneider, N., Schneider, L., Franke, U., Brox, T., and Geiger, A. (2017) · 2017
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Image-to-Image Translation with Conditional Adversarial Networks
Isola, P., Zhu, J.-Y., Zhou, T., and Efros, A. A. (2018) · 2018
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Semantic image synthesis with spatially-adaptive normalization
Park, T., Liu, M.-Y., Wang, T.-C., and Zhu, J.-Y. (2019) · 2019
Cited alongside, same era.
A survey on Image Data Augmentation for Deep Learning
Shorten, C. and Khoshgoftaar, T. M. (2019) · 2019
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CarMaker
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Zhu, J.-Y., Park, T., Isola, P., and Efros, A. A. (2020) · 2020
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LGSVL Simulator, https://www.lgsvlsimulator.com/
LG (2021) · 2021
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KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d
Liao, Y., Xie, J., and Geiger, A. (2021) · 2021
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Nvidia drive sim, https://developer.nvidia.com/drive/drive-sim
NVIDIA (2021) · 2021
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Vision transformers for dense prediction
Ranftl, R., Bochkovskiy, A., and Koltun, V. (2021) · 2021
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Virtual Test Drive
VTD (2021) · 2021
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Automotive, I. (2020) · 2020
Cited alongside, same era.
Virtual kitti 2
Cabon, Y., Murray, N., and Humenberger, M. (2020) · 2020
Cited alongside, same era.
L2r gan: Lidar-to-radar translation
Wang, L., Goldluecke, B., and Anklam, C. (2020) · 2020
Cited alongside, same era.
High-resolution image synthesis and semantic manipulation with conditional gans
Wang, T.-C., Liu, M.-Y., Zhu, J.-Y., Tao, A., Kautz, J., and Catanzaro, B. (2018a)
Cited in the paper.
Wang, Y., Chao, W.-L., Garg, D., Hariharan, B., Campbell, M., and Weinberger, K. Q. (2018b)
Cited in the paper.
Step: Segmenting and tracking every pixel
Weber, M., Xie, J., Collins, M., Zhu, Y., Voigtlaender, P., Adam, H., Green, B., Geiger, A., Leibe, B., Cremers, D., Osep, A., Leal-Taixe, L., and Chen, L.-C. (2021) · 2021
Later among the works it cites.