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Pit30M: A Benchmark for Global Localization in the Age of Self-Driving
  Cars
v1v2 (latest)

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
23 December 2020
Julieta Martinez
Sasha Doubov
Jack Fan
Ioan Andrei Bârsan
Shenlong Wang
Gellért Máttyus
R. Urtasun
ArXiv (abs)PDFHTML

Papers citing "Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars"

6 / 6 papers shown
JIST: Joint Image and Sequence Training for Sequential Visual Place
  Recognition
JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition
Gabriele Berton
Gabriele Trivigno
Barbara Caputo
Carlo Masone
VLM
343
8
0
28 Mar 2024
LightSim: Neural Lighting Simulation for Urban Scenes
LightSim: Neural Lighting Simulation for Urban Scenes
Ava Pun
Gary Sun
Jingkang Wang
Yun Chen
Ze Yang
S. Manivasagam
Wei-Chiu Ma
R. Urtasun
3DV
227
24
0
11 Dec 2023
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey
Multi-modal Sensor Fusion for Auto Driving Perception: A Survey
Keli Huang
Ding Wang
Xiang Li
Xin Li
Siyuan Huang
Yikang Li
308
212
0
06 Feb 2022
M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground Robots
M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground RobotsIEEE Robotics and Automation Letters (RA-L), 2021
J. Yin
Ang Li
Tao Li
Wenxian Yu
Danping Zou
244
255
0
19 Dec 2021
Towards Collaborative Simultaneous Localization and Mapping: a Survey of
  the Current Research Landscape
Towards Collaborative Simultaneous Localization and Mapping: a Survey of the Current Research Landscape
Pierre-Yves Lajoie
Benjamin Ramtoula
Fang Wu
Giovanni Beltrame
295
91
0
18 Aug 2021
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and PredictionComputer Vision and Pattern Recognition (CVPR), 2021
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
451
45
0
17 Jan 2021
1
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