Di Feng
Title
Cited by
Cited by
Year
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
D Feng, C Haase-Schuetz, L Rosenbaum, H Hertlein, C Glaeser, F Timm, ...
IEEE Transactions on Intelligent Transportation Systems, 2019
1022019
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection
D Feng, L Rosenbaum, K Dietmayer
The 21st IEEE International Conference on Intelligent Transportation Systems, 2018
922018
A tactile-based framework for active object learning and discrimination using multimodal robotic skin
M Kaboli, D Feng, K Yao, P Lanillos, G Cheng
IEEE Robotics and Automation Letters 2 (4), 2143-2150, 2017
352017
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
D Feng, L Rosenbaum, F Timm, K Dietmayer
The 30th IEEE Intelligent Vehicles Symposium, 2018
292018
Tactile-based Active Object Discrimination and Target Object Search in an Unknown Workspace
K Mohsen, K Yao, D Feng, G Cheng
Autonomous Robot, 2018
28*2018
Active Tactile Transfer Learning for Object Discrimination in an Unstructured Environment using Multimodal Robotic Skin
K Mohsen, F Di, C Gordon
International Journal of Humanoid Robotics, 2017
21*2017
Active Prior Tactile Knowledge Transfer for Learning Tactual Properties of New Objects
D Feng, M Kaboli, G Cheng
Sensors, 2018
202018
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
D Feng, X Wei, L Rosenbaum, A Maki, K Dietmayer
The 30th IEEE Intelligent Vehicles Symposium, 2019
162019
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving
D Feng, L Rosenbaum, C Glaeser, F Timm, K Dietmayer
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2019
112019
Inferring Spatial Uncertainty in Object Detection
Z Wang*, D Feng*, Y Zhou, W Zhan, L Rosenbaum, F Timm, M Tomizuka
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
42020
Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving
D Feng, C Yifan, L Rosenbaum, F Timm, K Dietmayer
The 31st IEEE Intelligent Vehicles Symposium (IV), 2020
22020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving
D Feng, A Harakeh, S Waslander, K Dietmayer
arXiv preprint arXiv:2011.10671, 2020
12020
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection
D Feng*, Z Wang*, Y Zhou, W Zhan, L Rosenbaum, F Timm, M Tomizuka
arXiv preprint arXiv:2012.12195, 2020
2020
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty
D Feng, L Rosenbaum, F Timm, K Dietmayer
European Conference on Computer Vision (ECCV) Workshop, 2020
2020
Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving
T Michalke, C Wüst, D Feng, C Gläser, M Dolgov, F Timm
arXiv preprint arXiv:2002.00216, 2020
2020
Leveraging Robotic Prior Tactile Exploratory Action Experiences For Learning New Objects' Physical Properties
D Feng
Master's Thesis, Technical University of Munich, 2017
2017
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Articles 1–16