activity
20182021
most citedLearning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation

79 citations · 155 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2021★ 1 cited

On Bundle Adjustment for Multiview PointCloud Registration

Huaiyang Huang, Yuxiang Sun, Jin Wu +5

Multiview registration is used to estimate Rigid Body Transformations (RBTs) from multiple frames and reconstruct a scene with corresponding scans. Despite the success of pairwise…

cs.RO2020★ 79 cited

Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation

Rui Fan, Hengli Wang, Peide Cai +4

Collision-free space detection is a critical component of autonomous vehicle perception. The state-of-the-art algorithms are typically based on supervised learning. The performance…

eess.SY2019★ 9 cited

Unified Attitude Determination Problem from Vector Observations and Hand-eye Measurements

Jin Wu

The hand-eye measurements have recently been proven to be very efficient for spacecraft attitude determination relative to an ellipsoidal asteroid. However, recent method does not…

eess.SY2018★ 29 cited

Real-time Magnetometer Disturbance Estimation via Online Nonlinear Programming

Jin Wu

Magnetometer is a significant sensor for integrated navigation. However, it suffers from many kinds of unknown dynamic magnetic disturbances. We study the problem of online estimat…

eess.SY2018★ 4 cited

Convexity Analysis of Optimization Framework of Attitude Determination from Vector Observations

Jin Wu, Zebo Zhou, Min Song

In the past several years, there have been several representative attitude determination methods developed using derivative-based optimization algorithms. Optimization techniques e…

eess.SY2018★ 5 cited

Fast Rigid 3D Registration Solution: A Simple Method Free of SVD and Eigen-Decomposition

Jin Wu, Ming Liu, Zebo Zhou +1

A novel solution is obtained to solve the rigid 3D registration problem, motivated by previous eigen-decomposition approaches. Different from existing solvers, the proposed algorit…