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Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty

Aug 10, 2020
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer

* A shorter version of this work is to appear at the Workshop on Perception for Autonomous Driving, 16th European Conference on Computer Vision (ECCV) 2020. Video to this work https://youtu.be/m05HnYietSk 

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Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving

Apr 16, 2020
Thomas Michalke, Colin Wüst, Di Feng, Claudius Gläser, Maxim Dolgov, Fabian Timm

* 6 pages, preprint 

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Inferring Spatial Uncertainty in Object Detection

Mar 07, 2020
Zining Wang, Di Feng, Yiyang Zhou, Wei Zhan, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer, Masayoshi Tomizuka


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Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving

Feb 01, 2020
Di Feng, Yifan Cao, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer


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Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving

Sep 26, 2019
Di Feng, Lars Rosenbaum, Claudius Glaeser, Fabian Timm, Klaus Dietmayer

* To appear in IROS 2019 

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

Feb 21, 2019
Di Feng, Christian Haase-Schuetz, Lars Rosenbaum, Heinz Hertlein, Fabian Duffhauss, Claudius Glaeser, Werner Wiesbeck, Klaus Dietmayer


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Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection

Feb 03, 2019
Di Feng, Lars Rosenbaum, Fabian Timm, Klaus Dietmayer


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Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector

Jan 29, 2019
Di Feng, Xiao Wei, Lars Rosenbaum, Atsuto Maki, Klaus Dietmayer


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Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection

Sep 07, 2018
Di Feng, Lars Rosenbaum, Klaus Dietmayer

* Accepted to present in the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC 2018) 

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Leveraging Robotic Prior Tactile Exploratory Action Experiences For Learning New Objects's Physical Properties

Jul 03, 2018
Di Feng

* Master's thesis in the Faculty of Electrical and Computer Engineering, Technical University of Munich 

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