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Showing Autonomous driving Show all papers

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NeurIPS 2026Johann Wolfgang Goethe UniversitTechnology Innovation InstituteDeakinEberhard-Karls-Universität TübinAutonomous driving

FalconPerception-HD: High Density Perception via Reinforcement Learning

Sofian Chaybouti, YASSER ABDELAZIZ DAHOU DJILALI, Ngoc D Huynh, REDA ALAMI and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026Beijing Institute of TechnologyAutonomous driving

RETR: A Structure-Preserving RGB-Event Transformer for Robust 3D Lane Detection

Jingtao Dong, Hao Zhuang, Hao Yang, Liyuan Pan and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026NVIDIAnvidiaNVIDIA CorporationSanta ClaraAutonomous driving

From Detection to Understanding — A Multi-Task Dataset for Traffic Anomaly Reasoning

Han Zhang, yilin zhao, Zaid P Bhat, Zheng (Thomas) Tang and 4 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026AlibabaAlibaba GroupMachine Learning R&D DepartmMeituanAutonomous driving

DriveStreamBench: Evaluating User-Conditioned Watch-and-Notify in Streaming Driving Video

Yi Wang, Xin Zhao, Tian Meng, Rui Dai and 9 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026ZhejiangZhejiang Dahua Technology Co., LAutonomous driving

One Adapter For All: Towards Generalizable Many-To-One Domain Adaptation In Heterogeneous Collaborative Perception

Lu Bin, Zhewei Fu, Shaohong Wang, Zhiyu Xiang and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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83%Must read
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NeurIPS 2026Zenseact ABChalmers University of TechnologZenseactAutonomous driving

Beyond Chamfer Distance: Granular Order-aware Evaluation Metric For Online Mapping

Proposed SOSPA and PLD metrics replace Chamfer-distance mAP with order-aware geometry evaluation and soft assignment, revealing detection, not geometry, as online mapping's dominant bottleneck.

Chouaib Bencheikh Lehocine, Adam Lilja, Junsheng Fu, Lars Hammarstrand

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
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