Long-term occupancy grid prediction using recurrent neural networks

M Schreiber, S Hoermann… - … Conference on Robotics …, 2019 - ieeexplore.ieee.org
We tackle the long-term prediction of scene evolution in a complex downtown scenario for
automated driving based on Lidar grid fusion and recurrent neural networks (RNNs). A bird's …
被引用次数：84 相关文章

Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks

M Schreiber, S Hoermann, K Dietmayer - arXiv preprint arXiv:1809.03782, 2018 - arxiv.org
We tackle the long-term prediction of scene evolution in a complex downtown scenario for
automated driving based on Lidar grid fusion and recurrent neural networks (RNNs). A bird's …

Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks

M Schreiber, S Hoermann, K Dietmayer - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
We tackle the long-term prediction of scene evolution in a complex downtown scenario for
automated driving based on Lidar grid fusion and recurrent neural networks (RNNs). A bird's …

Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks

M Schreiber, S Hoermann, K Dietmayer - 2019 International Conference …, 2019 - dl.acm.org
We tackle the long-term prediction of scene evolution in a complex downtown scenario for
automated driving based on Lidar grid fusion and recurrent neural networks (RNNs). A bird's …

[引用][C] Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks

M Schreiber, S Hoermann, K Dietmayer - 2019 - oparu.uni-ulm.de