Fetching the paper…
Reading the bibliography…
For autonomous robots to navigate a complex environment, it is crucial to understand the surrounding scene both geometrically and semantically.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2014
Earlier work this paper cites.
Segnet: A deep convolutional encoder-decoder architecture for image segmentation
Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Julie Dequaire, Dushyant Rao, Peter Ondruska, Dominic Zeng Wang, and Ingmar Posner · 2016
Earlier work this paper cites.
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2016
Earlier work this paper cites.
Learning to map vehicles into bird’s eye view
Andrea Palazzi, Guido Borghi, Davide Abati, Simone Calderara, and Rita Cucchiara · 2017
Cited alongside, same era.
Perception, planning, control, and coordination for autonomous vehicles
Scott Pendleton, Hans Andersen, Xinxin Du, Xiaotong Shen, Malika Meghjani, You Eng, Daniela Rus, and Marcelo Ang · 2017
Cited alongside, same era.
Monocular semantic occupancy grid mapping with convolutional variational auto-encoders
Chenyang Lu, Gijs Dubbelman, and Marinus Jacobus Gerardus van de Molengraft · 2018
Cited alongside, same era.
Multi-step prediction of occupancy grid maps with recurrent neural networks
Nima Mohajerin and Mohsen Rohani · 2018
Cited alongside, same era.
Orthographic feature transform for monocular 3d object detection, 2018
Thomas Roddick, Alex Kendall, and Roberto Cipolla · 2018
Cited alongside, same era.
nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2019
Later among the works it cites.
End-to-end learning of semantic grid estimation deep neural network with occupancy grids
Özgür Erkent, Christian Wolf, and Christian Laugier · 2019
Later among the works it cites.
Short-term prediction and multi-camera fusion on semantic grids
Lukas Hoyer, Patrick Kesper, and Volker Fischer · 2019
Later among the works it cites.
Lyft level 5 av dataset 2019
R. Kesten, M. Usman, J. Houston, T. Pandya, K. Nadhamuni, A. Ferreira, M. Yuan, B. Low, A. Jain, P. Ondruska, S. Omari, S. Shah, A. Kulkarni, A. Kazakova, C. Tao, L. Platinsky, W. Jiang, and V. Shet · 2019
Later among the works it cites.
Cross-view semantic segmentation for sensing surroundings
Bowen Pan, Jiankai Sun, Alex Andonian, Aude Oliva, and Bolei Zhou · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Long-term occupancy grid prediction using recurrent neural networks
Marcel Schreiber, Stefan Hoermann, and Klaus Dietmayer · 2018
Cited alongside, same era.
Later among the works it cites.
Semantic segmentation on automotive radar maps
Robert Prophet, Li Gang, Christian Sturm, and Martin Vossiek · 2019
Later among the works it cites.