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cs.CV2024
Timealign: A multi-modal object detection method for time misalignment fusing in autonomous driving
Zhihang Song, Lihui Peng, Jianming Hu +2
The multi-modal perception methods are thriving in the autonomous driving field due to their better usage of complementary data from different sensors. Such methods depend on calib…
cs.CV2024
A re-calibration method for object detection with multi-modal alignment bias in autonomous driving
Zhihang Song, Dingyi Yao, Ruibo Ming +3
Multi-modal object detection in autonomous driving has achieved great breakthroughs due to the usage of fusing complementary information from different sensors. The calibration in…
cs.RO2024
Life-long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as A Continuous Optimization Process
Jingwei Ge, Pengbo Wang, Cheng Chang +3
Sampling critical testing scenarios is an essential step in intelligence testing for Automated Vehicles (AVs). However, due to the lack of prior knowledge on the distribution of cr…