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Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by
  Learning Features in Complementary Representations

Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations

2 March 2022
Frank Bieder
Maximilian Link
Simon Romanski
Haohao Hu
Christoph Stiller
    3DPC
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Papers citing "Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations"

2 / 2 papers shown
Title
A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy
  Grid Mapping
A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping
M. Schreiber
Vasileios Belagiannis
Claudius Gläser
Klaus C. J. Dietmayer
11
14
0
09 Feb 2022
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,087
0
02 Dec 2016
1