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Author

Xin-Yu Huang

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Preprint Aug 2026

Scaling Curriculum Learning For Autonomous Driving

CL4AD is presented, the first integration of curriculum learning into batched autonomous driving simulators by framing scenario selection as an unsupervised environment design problem, and utility functions that shape curricula based on success rates and the realism of the agent's behavior are introduced, in addition to existing regret-estimation functions.

Cevahir Koprulu, D. Paz, Feng Tao et al. · 0 citations
Open access Jul 2026

KP-SLAM: Joint Flow-Pointmap Prior Synchronization for Robust Consistent Dense Mapping

KP-SLAM is proposed, which predicts dense optical flow and paired pointmap priors from a shared representation and incorporates them into the same BA backend and introduces a Depth-Scale-Pose-to-Pointmap (DSPP) objective that relates optimized inverse depth, edge-wise relative scale, and camera pose to paired pointmap constraints.

Song Gao, Xinyu Huang, Zheng Huang et al. · 0 citations

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