自动驾驶 - arXivDaily 专题

2103.04795 2021-07-29 cs.RO 79%

Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments

Johann Laconte, Elie Randriamiarintsoa, Abderrahim Kasmi, François Pomerleau, Roland Chapuis, Christophe Debain, Romuald Aufrère

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

Comments 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

2107.12207 2021-07-27 cs.CV 79%

Image-Based Parking Space Occupancy Classification: Dataset and Baseline

Martin Marek

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

2009.07207 2021-07-13 cs.RO 79%

Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping

Thai Duong, Michael Yip, Nikolay Atanasov

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

Comments Submitted to TRO

2107.02981 2021-07-08 cs.RO 79%

Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations

Yuanxin Zhong, Huei Peng

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

2107.02557 2021-07-07 cs.CV 79%

Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes

Chengcheng Guo, Minjie Lin, Heyang Guo, Pengpeng Liang, Erkang Cheng

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

Comments The IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021

2012.07912 2020-12-16 cs.RO 79%

Reactive Temporal Logic Planning for Multiple Robots in Unknown Occupancy Grid Maps

Yiannis Kantaros, Matthew Malencia, George J. Pappas

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

2011.05813 2020-11-12 cs.CV 79%

Dynamic Plane Convolutional Occupancy Networks

Stefan Lionar, Daniil Emtsev, Dusan Svilarkovic, Songyou Peng

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

Comments To be presented at WACV 2021. Equal contribution between the first three authors

2009.00782 2020-11-03 cs.CV 79%

A perception centred self-driving system without HD Maps

Alan Sun

专题命中 BEV与占用：self-driving(title,abstract)；分类 cs.CV

2010.11378 2020-10-23 cs.CV cs.LG 79%

Learning Occupancy Function from Point Clouds for Surface Reconstruction

Meng Jia, Matthew Kyan

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

2010.10700 2020-10-22 cs.CV 79%

Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving

Liang Peng, Dan Deng, Deng Cai

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

2010.05233 2020-10-13 cs.RO cs.DC cs.NI 79%

An Energy-Efficient High Definition Map Data Distribution Mechanism for Autonomous Driving

Jinliang Xie, Jie Tang, Shaoshan Liu

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

2008.09285 2020-08-26 cs.CV 79%

Occupancy Anticipation for Efficient Exploration and Navigation

Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman

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

Comments Accepted in ECCV 2020. 19 pages, 6 figures, appendix at end

2008.02274 2020-08-06 cs.RO 79%

Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM

Chanoh Park, Peyman Moghadam, Jason Williams, Soohwan Kim, Sridha Sridharan, Clinton Fookes

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

Comments Submitted to IEEE Transactions on Robotics

2003.04618 2020-08-04 cs.CV 79%

Convolutional Occupancy Networks

Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger

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

Comments ECCV 2020 (Spotlight). Project page with supplementary material and code: https://pengsongyou.github.io/conv_onet

2007.04934 2020-07-10 cs.CV 79%

Anyone here? Smart embedded low-resolution omnidirectional video sensor to measure room occupancy

Timothy Callemein, Kristof Van Beeck, Toon Goedemé

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

1801.00600 2020-07-01 cs.RO 79%

Static Free Space Detection with Laser Scanner using Occupancy Grid Maps

Hesham M. Eraqi, Jens Honer, Sebastian Zuther

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

Journal ref IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, JAPAN, October 2017

2004.05685 2020-05-06 cs.CV 79%

Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation

Mertcan Cokbas, Prakash Ishwar, Janusz Konrad

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

1912.08111 2020-04-28 cs.LG cs.RO stat.ML 79%

HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting

Geunseob Oh, Jean-Sebastien Valois

专题命中 BEV与占用：occupancy(title)；self-driving(abstract)；分类 cs.RO

Comments CVPR 2020

2003.13402 2020-03-31 cs.CV 79%

Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks

Thomas Roddick, Roberto Cipolla

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

2003.05559 2020-03-17 cs.CV 79%

SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates

Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker

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

2002.01921 2020-02-06 cs.RO cs.LG cs.SY eess.SY 79%

Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping

Thai Duong, Nikhil Das, Michael Yip, Nikolay Atanasov

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

Comments Accepted to ICRA 2020

1910.08225 2019-10-21 cs.RO stat.ML 79%

Learning Continuous Occupancy Maps with the Ising Process Model

Nicholas O'Dell, Christopher Renton, Adrian Wills

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

Comments Submitted to the IEEE International Conference on Robotics and Automation (ICRA) 2020

1903.02285 2019-08-29 cs.RO 79%

Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment

Johann Laconte, Christophe Debain, Roland Chapuis, François Pomerleau, Romuald Aufrère

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

Comments 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

1905.04392 2019-05-14 eess.SP cs.CV cs.LG cs.NE 79%

Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks

Mohsen Joneidi, Ismail Alkhouri, Nazanin Rahnavard

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

Comments Submitted to the 2019 IEEE Global Communications Conference (GLOBECOM)

1812.01802 2018-12-06 cs.CV 79%

Visual Attention for Behavioral Cloning in Autonomous Driving

Sourav Pal, Tharun Mohandoss, Pabitra Mitra

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

Comments Paper Accepted at ICMV (2018)

1801.05297 2018-12-06 cs.RO 79%

Evidential Occupancy Grid Map Augmentation using Deep Learning

Sascha Wirges, Felix Hartenbach, Christoph Stiller

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

Comments 6 pages, 5 figures

Journal ref 2018 IEEE Intelligent Vehicles Symposium (IV)

1811.10156 2018-11-27 cs.RO 79%

Fast Gaussian Process Occupancy Maps

Yijun Yuan, Haofei Kuang, Sören Schwertfeger

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

Comments Accepted to ICARCV2018

1805.02944 2018-05-23 cs.RO 79%

Path Evaluation via HMM on Semantical Occupancy Grid Maps

Timo Korthals, Julian Exner, Thomas Schöpping, Marc Hesse

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

Comments ICRA 2018 Workshop on Informative Path Planning and Adaptive Sampling, 2 pages, 4 figures

1804.03933 2018-04-12 cs.CV 79%

Offline Object Extraction from Dynamic Occupancy Grid Map Sequences

Daniel Stumper, Fabian Gies, Stefan Hoermann, Klaus Dietmayer

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

Comments 8 Pages, 7 Figures, submitted to IEEE IV2018, waiting for acceptance

1711.10355 2017-11-29 cs.AI cs.NE 79%

Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings

Basheer Qolomany, Ala Al-Fuqaha, Driss Benhaddou, Ajay Gupta

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

1. BEV与占用 3764 篇

Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments

Image-Based Parking Space Occupancy Classification: Dataset and Baseline

Autonomous Navigation in Unknown Environments with Sparse Bayesian Kernel-based Occupancy Mapping

Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations

Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes

Reactive Temporal Logic Planning for Multiple Robots in Unknown Occupancy Grid Maps

Dynamic Plane Convolutional Occupancy Networks

A perception centred self-driving system without HD Maps

Learning Occupancy Function from Point Clouds for Surface Reconstruction

Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving

An Energy-Efficient High Definition Map Data Distribution Mechanism for Autonomous Driving

Occupancy Anticipation for Efficient Exploration and Navigation

Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAM

Convolutional Occupancy Networks

Anyone here? Smart embedded low-resolution omnidirectional video sensor to measure room occupancy

Static Free Space Detection with Laser Scanner using Occupancy Grid Maps

Low-Resolution Overhead Thermal Tripwire for Occupancy Estimation

HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting

Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks

SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates

Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping

Learning Continuous Occupancy Maps with the Ising Process Model

Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment

Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks

Visual Attention for Behavioral Cloning in Autonomous Driving

Evidential Occupancy Grid Map Augmentation using Deep Learning

Fast Gaussian Process Occupancy Maps

Path Evaluation via HMM on Semantical Occupancy Grid Maps

Offline Object Extraction from Dynamic Occupancy Grid Map Sequences

Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings