|
Canada-0-MATTRESSES ไดเรกทอรีที่ บริษัท
|
ข่าว บริษัท :
- 华科 港大提出UniLION：基于线性组 RNN 的统一自动驾驶模型
UniLION 震撼发布，由香港大学、华中科技大学和百度联合研发。 这一创新的统一自动驾驶框架通过线性组 RNN 技术，成功解决了处理大规模点云数据和多视角图像时的计算效率问题，为自动驾驶领域带来了全新的技术范式…
- [2511. 01768] UniLION: Towards Unified Autonomous Driving Model with . . .
In this paper, we present a unified autonomous driving model, UniLION, which efficiently handles large-scale LiDAR point clouds, high-resolution multi-view images, and even temporal sequences based on the linear group RNN operator (i e , performs linear RNN for grouped features)
- UniLION README. md at main · happinesslz UniLION · GitHub
UniLION integrates multi-view images, LiDAR point clouds, and temporal information into a unified 3D backbone through direct token concatenation without hand-crafted fusion modules 💪
- UniLION论文学习_unilion: towards unified autonomous . . .
本文提出UniLION自动驾驶统一模型，采用线性组RNN处理多模态长序列数据。 该模型通过直接序列连接实现多种输入模式（LiDAR点云、多视图图像、时间序列）的统一处理，无需显式融合模块。 UniLION生成共享BEV特征，支持并行执行3D检测、跟踪、预测和规划
- Welcome to UnILiON
UnILiON Open Talk on the Cyber Resilience Act The representatives of Delft University of Technology and Eindhoven University of Technology are kindly inviting …
- 自动驾驶大统一模型！UniLION：线性RNN让多模态融合不再复杂
当Transformer在自动驾驶领域遭遇计算瓶颈时，线性RNN悄然登场。 UniLION用统一架构处理多模态数据，让复杂的融合模块成为历史。 这不禁让人思考：自动驾驶的终极形态，是否就藏在这简洁的线性计算中？ 龙哥读论文
- 2025-12-26 华科 港大提出UniLION：基于线性组 RNN 的 . . .
UniLION 是一种基于线性组RNN（也可以看作为linear attention）的统一自动驾驶模型，它能够高效处理大规模 LiDAR 点云、高分辨率多视角图像和时间序列数据。
- Paper page - UniLION: Towards Unified Autonomous Driving Model with . . .
Paper page - UniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs
- Zhe Liu | 刘哲 - Homepage
Nov 2025: 🚀 We release UniLION, a Unified Autonomous Driving Model with Linear Group RNNs Nov 2025: 🎤 Invited to give a talk at Huawei Yinwang Intelligent Technology (formerly Huawei Car BU), with over 100 researchers attending
- UniLION: Towards Unified Autonomous Driving Model with Linear Group RNNs
Figure 2: We propose UniLION, a unified model that achieves both latent temporal fusion and multi-modal fusion in UniLION backbone by the linear group RNN, generating the unified BEV features that serve all autonomous driving tasks, including perception, prediction, and planning
|
|