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The Three Pillars of Autonomous Driving
(Self-)Supervised Learning for Perception and Tracking in Autonomous Driving
How AI Helps Autonomous Vehicles See Outside the Box - NVIDIA DRIVE Labs Ep. 14
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving [ECCV'24]
2024-04-16 AICZECHIA LukΓ‘Ε‘ Neumann - Weakly-supervised learning for autonomous driving
SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving
[ECCV 2022 Tutorial] Self-Supervision on Wheels: Advances in SSL from Autonomous Driving Data
ConvDepth: Self Supervised Monocular Depth Estimation for Autonomous Driving
Dr. Spyros Gidaris on Exploiting image-lidar data for self-supervised learning in autonomous driving
Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models
Self-Supervised Pretraining on Autonomous Driving Data
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Last Updated: August 22, 2026
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![SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving [ECCV'24]](https://i.ytimg.com/vi/fQqx2IES-VI/mqdefault.jpg)
![[ECCV 2022 Tutorial] Self-Supervision on Wheels: Advances in SSL from Autonomous Driving Data](https://i.ytimg.com/vi/RhNZUyOubfE/mqdefault.jpg)
![Details [CVPR 2025] SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field Update](https://i.ytimg.com/vi/fd633eRRRTk/mqdefault.jpg)
