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Mengdan Feng

3 accepted papers

2019

2D3D-Matchnet: Learning To Match Keypoints Across 2D Image And 3D Point Cloud

ICRA 2019poster

Large-scale point cloud generated from 3D sensors is more accurate than its image-based counterpart. However, it is seldom used in visual pose estimation due to the difficulty in obtaining 2D-3D image to point cloud correspondences. In this paper, we propose the 2D3D-MatchNet - an end-to-end deep ne…

Cited by 146SourceScholar
2018

CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization

CVPR 2018poster

The problem of localization on a geo-referenced aerial/satellite map given a query ground view image remains challenging due to the drastic change in viewpoint that causes traditional image descriptors based matching to fail. We leverage on the recent success of deep learning to propose the CVM-Net…

2015

Autonomous golf cars for public trial of mobility-on-demand service

IROS 2015poster

We detail the design of autonomous golf cars which were used in public trials in Singapore's Chinese and Japanese Gardens, for the purpose of raising public awareness and gaining user acceptance of autonomous vehicles. The golf cars were designed to be robust, reliable, and safe, while operating und…

Cited by 51SourceScholar