Maxime Ferrera — accepted AI-conference papers

2024

From 2D to 3D: AISG-SLA Visual Localization Challenge

Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak +10

IJCAI 2024poster

Research in 3D mapping is crucial for smart city applications, yet the cost of acquiring 3D data often hinders progress. Visual localization, particularly monocular camera position estimation, offers a solution by determining the camera's pose solely through visual cues. However, this task is challe…

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2021

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

RA-L 2021

Many applications of Visual SLAM, such as augmented reality, virtual reality, robotics or autonomous driving, require versatile, robust and precise solutions, most often with real-time capability. In this work, we describe OV <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://ww

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