Author:
Lombacher Jakob,Hahn Markus,Dickmann Jurgen,Wohler Christian
Cited by
28 articles.
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1. Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
2. An Automotive Radar Dataset For Object Classification;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
3. NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29
4. Histogram-based Deep Learning for Automotive Radar;2023 IEEE Radar Conference (RadarConf23);2023-05-01
5. An AdaBoost Method with K′K-Means Bayes Classifier for Imbalanced Data;Mathematics;2023-04-15