| 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 | 521 | 2019 |
| 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 | 209 | 2018 |
| A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving D Feng, A Harakeh, S Waslander, K Dietmayer IEEE Transactions on Intelligent Transportation Systems, 2020 | 70 | 2020 |
| 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 | 54 | 2018 |
| 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 | 51 | 2017 |
| Tactile-based Active Object Discrimination and Target Object Search in an Unknown Workspace K Mohsen, K Yao, D Feng, G Cheng Autonomous Robot, 2018 | 49* | 2018 |
| 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 | 45 | 2019 |
| Active Tactile Transfer Learning for Object Discrimination in an Unstructured Environment using Multimodal Robotic Skin F Di, K Mohsen, C Gordon International Journal of Humanoid Robotics, 2017 | 35* | 2017 |
| 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 | 29 | 2019 |
| Active Prior Tactile Knowledge Transfer for Learning Tactual Properties of New Objects D Feng, M Kaboli, G Cheng Sensors, 2018 | 26 | 2018 |
| 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 | 21 | 2020 |
| 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 | 13 | 2020 |
| Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection D Feng*, Z Wang*, Y Zhou, W Zhan, L Rosenbaum, F Timm, M Tomizuka IEEE Transactions on Intelligent Transportation Systems, 2020 | 10 | 2020 |
| A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding D Feng, Y Zhou, C Xu, M Tomizuka, W Zhan IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 | 9 | 2021 |
| 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 | 6 | 2020 |
| Where can I drive? Deep Ego-Corridor Estimation for Robust Automated Driving T Michalke, D Feng, C Gläser, F Timm The 24st IEEE International Conference on Intelligent Transportation Systems, 2021 | 1 | 2021 |
| Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors D Feng, F Francesco arXiv preprint arXiv:2301.13592, 2023 | | 2023 |
| DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars F Drews, D Feng, F Faion, L Rosenbaum, M Ulrich, C Gläser IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 | | 2022 |
| Understanding the Domain Gap in LiDAR Object Detection Networks J Richter, F Faion, D Feng, PB Becker, P Sielecki, C Glaeser arXiv preprint arXiv:2204.10024, 2022 | | 2022 |
| Uncertainty estimation for object detection using deep learning approaches D Feng Universität Ulm, 2021 | | 2021 |
Klaus DietmayerProfessor für Mess- und RegelungstechnikVerified email at uni-ulm.de
