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researcher

He Kong

10 papers hereh-index 17993 citations35 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author6
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.RO7
  • math.OC2
  • eess.SY1
same name
  • He Kong — 9 papers, h 7
  • He Kong — 9 papers, h 2
  • He Kong — 5 papers, h 4
  • He Kong — 4 papers, h 8
  • He Kong — 3 papers, h 3
  • He Kong — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedExperimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture

6 citations · 6 across the 9 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.RO2022

Observability Analysis of Graph SLAM-Based Joint Calibration of Multiple Microphone Arrays and Sound Source Localization

Yuanzheng He, Jiang Wang, Daobilige Su +5

Multiple microphone arrays have many applications in robot audition, including sound source localization, audio scene perception and analysis, etc. However, accurate calibration of…

math.OC2022

Identifiability Analysis of Noise Covariances for LTI Stochastic Systems with Unknown Inputs

He Kong, Salah Sukkarieh, Travis J. Arnold +3

Most existing works on optimal filtering of linear time-invariant (LTI) stochastic systems with arbitrary unknown inputs assume perfect knowledge of the covariances of the noises i…

math.OC2022

The Noise Covariances of Linear Gaussian Systems with Unknown Inputs Are Not Uniquely Identifiable Using Autocovariance Least-squares

He Kong, Salah Sukkarieh, Travis J. Arnold +2

Existing works in optimal filtering for linear Gaussian systems with arbitrary unknown inputs assume perfect knowledge of the noise covariances in the filter design. This is imprac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.