Shanghai, China

Daqing Kong

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Robert Bosch. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daqing Kong. Retrieved from https://idiyas.com/inventor/daqing-kong

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
Loading Chart...
1 patent (USPTO):Explore Patents

Title: Daqing Kong: Advancing Image Analysis and Sensor Calibration

Introduction

Daqing Kong is an inventor based in Shanghai, China, associated with Robert Bosch. His patent work addresses model training for image analysis, image edge detection, and multi-sensor calibration.

Latest Patents

Kong is associated with 1 patent: “Model Training Method, Image Edge Detection Method, and Multi-Sensor Calibration Method.” The invention describes training a model to generate occlusion relationships between pixel pairs. It uses RGB and depth features from multiple training images, with reference annotations derived from the depth features to train the model. The disclosed methods and related computer implementations are intended for image edge detection and multi-sensor calibration.

Career Highlights

Kong’s listed invention connects machine-learning model training with visual perception and sensor calibration. The patent describes a process that uses RGB image features as model inputs and annotated occlusion relationships as training targets.

Collaborations

Kong’s listed coworkers include Su Wang and Tunan Shen. His company affiliation is Robert Bosch.

Conclusion

Daqing Kong’s patent work focuses on using image features and depth-based annotations to train models for occlusion analysis, edge detection, and multi-sensor calibration.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…