自动驾驶

Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images

Nikhil Gosala, Abhinav Valada

专题命中 BEV与占用 ：BEV(abstract)；分类 cs.RO、cs.CV

Comments 17 pages, 13 figures, Accepted for publication in the IEEE Robotics and Automation Letters (RA-L)

Journal ref IEEE Robotics and Automation Letters, Volume 7, Issue 2, April 2022, pp. 1968-1975

Uncertainty-driven Planner for Exploration and Navigation

Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni, Kostas Daniilidis

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.CV

FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras

Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeffrey Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall

专题命中 BEV与占用 ：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments ICCV 2021

Semantic Image Alignment for Vehicle Localization

Markus Herb, Matthias Lemberger, Marcel M. Schmitt, Alexander Kurz, Tobias Weiherer, Nassir Navab, Federico Tombari

专题命中 BEV与占用 ：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Accepted at 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)

Vision Transformer for Learning Driving Policies in Complex Multi-Agent Environments

Eshagh Kargar, Ville Kyrki

专题命中 BEV与占用 ：BEV(abstract)；分类 cs.RO、cs.AI

Neural Radiance Flow for 4D View Synthesis and Video Processing

Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.CV

Comments ICCV 2021. Website: https://yilundu.github.io/nerflow/

L3C-Stereo: Lossless Compression for Stereo Images

Zihao Huang, Zhe Sun, Feng Duan, Andrzej Cichocki, Peiying Ruan, Chao Li

专题命中 BEV与占用 ：autonomous driving(abstract)；分类 cs.CV、eess.IV

Stereo Waterdrop Removal with Row-wise Dilated Attention

Zifan Shi, Na Fan, Dit-Yan Yeung, Qifeng Chen

专题命中 BEV与占用 ：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments IROS 2021

CORAL: Colored structural representation for bi-modal place recognition

Yiyuan Pan, Xuecheng Xu, Weijie Li, Yunxiang Cui, Yue Wang, Rong Xiong

专题命中 BEV与占用 ：LiDAR(abstract)；分类 cs.RO、cs.CV

Memory-like Map Decay for Autonomous Vehicles based on Grid Maps

Thomas Teixeira, Filipe Mutz, Karin Satie Komati, Lucas Veronese, Vinicius B. Cardoso, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.AI

Comments This is a preprint. Published in American journal of Engineering Research (AJER) Available at http://www.ajer.org/papers/Vol-9-issue-9/J09096371.pdf

Journal ref American Journal of Engineering Research (AJER), vol. 9(9), 2020, pp. 63-71

Hierarchical Road Topology Learning for Urban Map-less Driving

Li Zhang, Faezeh Tafazzoli, Gunther Krehl, Runsheng Xu, Timo Rehfeld, Manuel Schier, Arunava Seal

专题命中 BEV与占用 ：autonomous driving(abstract)；分类 cs.RO、cs.CV

SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion

Shun-Cheng Wu, Keisuke Tateno, Nassir Navab, Federico Tombari

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.CV

Journal ref International Conference on 3D Vision (2020), 801-810

OV$^{2}$SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications

Maxime Ferrera, Alexandre Eudes, Julien Moras, Martial Sanfourche, Guy Le Besnerais

专题命中 BEV与占用 ：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments Accepted for publication in IEEE Robotics and Automation Letters (RA-L). Code is available at : \url{https://github.com/ov2slam/ov2slam}

Journal ref IEEE Robotics and Automation Letters, IEEE 2021

DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos

Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang

专题命中 BEV与占用 ：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments accepted by IROS 2020

Sim-to-Real Transfer for Vision-and-Language Navigation

Peter Anderson, Ayush Shrivastava, Joanne Truong, Arjun Majumdar, Devi Parikh, Dhruv Batra, Stefan Lee

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.CV

Comments CoRL 2020

MonoLayout: Amodal scene layout from a single image

Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.CV

Comments To be presented at WACV 2020 Video: https://www.youtube.com/watch?v=HcroGyo6yRQ Project page: https://hbutsuak95.github.io/monolayout

SegMap: Segment-based mapping and localization using data-driven descriptors

Renaud Dubé, Andrei Cramariuc, Daniel Dugas, Hannes Sommer, Marcin Dymczyk, Juan Nieto, Roland Siegwart, Cesar Cadena

专题命中 BEV与占用 ：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments arXiv admin note: substantial text overlap with arXiv:1804.09557

Real-time 3-D Mapping with Estimating Acoustic Materials

Taeyoung Kim, Youngsun Kwon, Sung-eui Yoon

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.CV

Context Aware Road-user Importance Estimation (iCARE)

Alireza Rahimpour, Sujitha Martin, Ashish Tawari, Hairong Qi

专题命中 BEV与占用 ：self-driving(abstract)；分类 cs.CV、eess.IV

Comments Published in: IEEE Intelligent Vehicles (IV), 2019

PI-BA Bundle Adjustment Acceleration on Embedded FPGAs with Co-observation Optimization

Shuzhen Qin, Qiang Liu, Bo Yu, Shaoshan Liu

专题命中 BEV与占用 ：autonomous driving(abstract)；分类 cs.RO、eess.IV

Comments in Proceedings of IEEE FCCM 2019

Egocentric Spatial Memory

Mengmi Zhang, Keng Teck Ma, Shih-Cheng Yen, Joo Hwee Lim, Qi Zhao, Jiashi Feng

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.CV

Comments 8 pages, 6 figures, accepted in IROS 2018

Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning

Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.AI

Comments 5 pages, 4 figures; to be published in MLPC 2018

SkiMap: An Efficient Mapping Framework for Robot Navigation

Daniele De Gregorio, Luigi Di Stefano

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.CV

Comments Accepted by International Conference on Robotics and Automation (ICRA) 2017. This is the submitted version. The final published version may be slightly different

Markov Localization for Mobile Robots in Dynamic Environments

W. Burgard, D. Fox, S. Thrun

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.RO、cs.AI

Journal ref Journal Of Artificial Intelligence Research, Volume 11, pages 391-427, 1999

FOF-X: Towards Real-time Detailed Human Reconstruction from a Single Image

FOF-X：从单张图像实现实时详细人体重建

Qiao Feng, Yuanwang Yang, Yebin Liu, Yu-Kun Lai, Jingyu Yang, Kun Li

机构 * College of Intelligence and Computing, Tianjin University（智能与计算学院，天津大学） ； Department of Automation, Tsinghua University（自动化系，清华大学） ； School of Computer Science and Informatics, Cardiff University（计算机科学与信息学院，卡迪夫大学） ； School of Electrical and Information Engineering, Tianjin University（电气与信息工程学院，天津大学） 纠错

专题命中 BEV与占用 ：occupancy(abstract,comments)；分类 cs.CV

AI总结 FOF-X通过傅里叶占用场实现从单张图像的实时详细人体重建，提升重建质量和鲁棒性。

Comments Extended journal version of our previous conference paper: FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction (arXiv:2206.02194)

PrintAnything: Learning an Intermediate Representation for 3D printing G-code Generation

PrintAnything：学习用于3D打印G-code生成的中间表示

Sangmin Hong, Daniel Sungho Jung, Heewon Kim, Kyoung Mu Lee

机构 * IPAI, Seoul National University（首尔大学 IPAI） ； Seoul National University（首尔大学） ； Soongsil University（崇实大学） ； Kairoba Inc.（Kairoba公司） 纠错

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.CV

AI总结 PrintAnything框架无需网格重建，通过切片式点投影策略和G-plan图，直接从点云生成可执行3D打印G-code，实现无网格的实用3D打印流程。

Comments European Conference on Computer Vision (ECCV) 2026

Quantum-Inspired Evolutionary Neighborhood Search for Arrival-Departure Track Utilization Adjustment under Short-Term Disturbances

量子启发式进化邻域搜索用于短期干扰下到发轨道利用调整

Xiaobin Li, Wuming Lei, Yanbin Gao, Weiguang Wang

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.AI

AI总结 研究针对短期干扰下的到发轨道利用调整问题，提出结合邻域搜索的量子启发式进化算法QEA-NS，通过构建模型求解，与CP-SAT对比，结果显示该算法能提高恢复计划延误性能，但计算效率需提升。

Adaptive Data Admission and Retention for Streaming Federated Learning

用于流式联邦学习的自适应数据接纳与保留

Zhuoyi Zhao, Ben Liang

机构 * University of Toronto（多伦多大学） 纠错

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.AI

AI总结 研究客户端内存有限的流式联邦学习，提出联合服务器端接纳和客户端内存管理框架，开发ACDPP策略，结合K步保留规则与在线接纳规则等，通过论证使其与预言机基准联系，实验表明该策略在满足约束时接近基准。

On AI Safety and Security Technical Debt in Engineering AI-Enabled Systems

关于人工智能系统工程中的人工智能安全与保障技术债务

Muhammad Tukur, Hayatullahi B. Adeyemo, Tao Chen, Nour Ali, Anis Zarrad, Rick Kazman, Marco Agus, Rami Bahsoon

专题命中 BEV与占用 ：autonomous driving(abstract)；分类 cs.AI

AI总结 研究人工智能系统工程中的安全与保障技术债务，通过系统综述识别31种AITD并分类，分析其与信任问题的关联，合成34条指南，引入AITD - MAP框架，助工程师应对AITDs。

Comments 64 pages, 7 figures, 8 tables, submitted to ACM Transactions on Software Engineering and Methodology (TOSEM)

Multi-Turn On-Policy Distillation with Prefix Replay

基于前缀重放的多轮在线策略蒸馏

Baohao Liao, Hanze Dong, Christof Monz, Xinxing Xu, Li Dong, Furu Wei

机构 * Microsoft Research（微软研究院） ； University of Amsterdam（阿姆斯特丹大学） 纠错

专题命中 BEV与占用 ：occupancy(abstract)；分类 cs.AI

AI总结 研究用于智能体任务的在线策略蒸馏，提出重放前缀在线策略蒸馏方法，复用预收集教师轨迹作重放前缀，解决多轮在线策略蒸馏的前缀陷阱问题，提高效率且保持或提升精度。