Kun Jiang
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- State Key Laboratory of Vehicle NVH and Safety Technology, Tsinghua Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-4995-7244
- OpenAlex ID
- A5100786441, A5128880986as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 59
3D Scene Reconstruction with Sparse LiDAR Data and Monocular Image in Single Frame,
Adaptive approximation-based design mechanism for non-strict-feedback nonlinear MIMO systems with application to continuous stirred tank reactor,
Adaptive Grid Search Based Pulse Phase and Doppler Frequency Estimation for XNAV,
Adaptive Neural Controller Design Scheme of Nonlinear Delayed Systems With Completely Unknown Nonlinearities and Non-Strict-Feedback Structure,
A deep capsule neural network with stochastic delta rule for bearing fault diagnosis on raw vibration signals,
A Deep Residual U-Type Network for Semantic Segmentation of Orchard Environments,
A Flexible Multi-Layer Map Model Designed for Lane-Level Route Planning in Autonomous Vehicles,
A geometry-driven car-following distance estimation algorithm robust to road slopes
+51 more
← Authored by 59
3D Scene Reconstruction with Sparse LiDAR Data and Monocular Image in Single Frame,
Adaptive approximation-based design mechanism for non-strict-feedback nonlinear MIMO systems with application to continuous stirred tank reactor,
Adaptive Grid Search Based Pulse Phase and Doppler Frequency Estimation for XNAV,
Adaptive Neural Controller Design Scheme of Nonlinear Delayed Systems With Completely Unknown Nonlinearities and Non-Strict-Feedback Structure,
A deep capsule neural network with stochastic delta rule for bearing fault diagnosis on raw vibration signals,
A Deep Residual U-Type Network for Semantic Segmentation of Orchard Environments,
A Flexible Multi-Layer Map Model Designed for Lane-Level Route Planning in Autonomous Vehicles,
A geometry-driven car-following distance estimation algorithm robust to road slopes
+51 more
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Summary
Kun Jiang is a human[1].