arxiv
PublishedApril 10, 2026 at 4:00 AM
▲bullish
RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection
Publisher summary· verbatim
arXiv:2505.17732v2 Announce Type: replace-cross Abstract: Accurate, fast, and reliable 3D perception is essential for autonomous driving. Recently, bird's-eye view (BEV)-based perception approaches have emerged as superior alternatives to perspective-based solutions, offering enhanced spatial unders
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivAdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science2harxivScoped Semantic Invariance as a Foundation for LLM Reliability2harxivGEMS-RAG: Graph-grounded Engineering Multimodal Standards Retrieval-Augmented Generation2harxivEstimation of Propagated Risk in LLM-based Multi-Agent Systems2hThe Bubble Brief
MON · WED · FRIRead autonomous-driving insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗