38 citations · 62 across the 5 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.RO2017★ 1 cited
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion
Pedro F. Proença, Yang Gao
Active depth cameras suffer from several limitations, which cause incomplete and noisy depth maps, and may consequently affect the performance of RGB-D Odometry. To address this is…
cs.CV2017★ 7 cited
Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty
Pedro F. Proenca, Yang Gao
This work proposes a robust visual odometry method for structured environments that combines point features with line and plane segments, extracted through an RGB-D camera. Noisy d…
cs.CV2017★ 4 cited
Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry
Pedro F. Proença, Yang Gao
This work proposes a visual odometry method that combines points and plane primitives, extracted from a noisy depth camera. Depth measurement uncertainty is modelled and propagated…