Application of deep learning for enhancing simultaneous localization and mapping in autonomous driving by Ge, Jintian

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Simulation based perception testing for autonomous vehicles by Yang, Xuehuan

“…Perception Testing technologies are widely applied in various scenarios, like industrial and academic research applications for autonomous driving systems. Accurate and robust autonomous driving simulation perception is pivotal for safety-guidance autonomous vehicles (AV). …”
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Unsupervised domain adaptation for LiDAR segmentation by Kong, Lingdong

“…Transferring knowledge learned from the labeled source domain to the raw target domain for unsupervised domain adaptation (UDA) is essential to the scalable deployment of an autonomous driving system. State-of-the-art approaches in UDA often employ a key concept: utilize joint supervision signals from both the source domain (with ground-truth) and the target domain (with pseudo-labels) for self-training. …”
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