Feng, Di
Universität Ulm · Robert Bosch (Germany)
3 papers on CoChatORCID 0000-0002-8182-4591
Most cited papers
- Verified
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Feng, D., Haase-Schutz, C., Rosenbaum, L., Hertlein, H., Glaser, C., Timm, F., Wiesbeck, W., & Dietmayer, K. (2021) · IEEE Transactions on Intelligent Transportation Systems
Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications
Cited by 1,425
- Verified
Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection
Feng, D., Rosenbaum, L., & Dietmayer, K. (2018) · arXiv
Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications
Cited by 260
- Verified
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
Feng, D., Wei, X., Rosenbaum, L., Maki, A., & Dietmayer, K. (2019) · 2019 IEEE Intelligent Vehicles Symposium (IV)
Machine Learning and AlgorithmsAdvanced Neural Network Applications
Cited by 85
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free