Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges

D Feng, C Haase-Schütz, L Rosenbaum… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Recent advancements in perception for autonomous driving are driven by deep learning. In
order to achieve robust and accurate scene understanding, autonomous vehicles are …
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Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

D Feng, C Haase-Schütz, L Rosenbaum… - IEEE Transactions on …, 2021 - trid.trb.org
Recent advancements in perception for autonomous driving are driven by deep learning. In
order to achieve robust and accurate scene understanding, autonomous vehicles are …

Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

D Feng, C Haase-Schütz, L Rosenbaum… - IEEE Transactions on …, 2021 - dl.acm.org
Recent advancements in perception for autonomous driving are driven by deep learning. In
order to achieve robust and accurate scene understanding, autonomous vehicles are …

[引用][C] Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

D Feng, C Haase-Schütz, L Rosenbaum, H Hertlein… - 2021 - oparu.uni-ulm.de

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

D Feng, C Haase-Schütz, L Rosenbaum… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Recent advancements in perception for autonomous driving are driven by deep learning. In
order to achieve robust and accurate scene understanding, autonomous vehicles are …

[引用][C] Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

CHS Di Feng, L Rosenbaum, H Hertlein… - IEEE Transactions on …, 2021 - cir.nii.ac.jp
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving:
Datasets, Methods, and Challenges | CiNii Research CiNii 国立情報学研究所 学術情報 …

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

D Feng, C Haase-Schuetz, L Rosenbaum, H Hertlein… - boschresearch.github.io
Daimler2013 [1] 2013 Bertha Benz Memorial Route from Mannheim to Pforzheim (approx.
65 miles). The route comprises rural roads, urban areas, small villages and various traffic …
[PDF] researchgate.net

[PDF][PDF] Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

D Feng, C Haase-Schütz, L Rosenbaum, H Hertlein… - 2020 - researchgate.net
Recent advancements in perception for autonomous driving are driven by deep learning. In
order to achieve robust and accurate scene understanding, autonomous vehicles are …

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

D Feng, C Haase-Schütz, L Rosenbaum… - arXiv preprint arXiv …, 2019 - arxiv.org
Recent advancements in perception for autonomous driving are driven by deep learning. In
order to achieve robust and accurate scene understanding, autonomous vehicles are …