This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignees: Nissan North America, Inc., Nissan Motor Corp.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2026
Title: Hsin-Min Cheng: Inventor in Vehicle Mapping and Lane Estimation
Introduction
Hsin-Min Cheng is an inventor based in Millbrae, California. His work focuses on vehicle technologies that help estimate lane structure and create data-based maps for vehicle operation. He is named on 2 patents.
Latest Patents
Lane Structure Estimation. This invention describes a vehicle processor that generates and aligns lane cues as the vehicle travels through a transportation network. Using those cues, the processor estimates a lane graph and checks the estimated lane center against a landmark. The system is designed to support lane estimation even when the vehicle is temporarily without GPS or GNSS communication.
Data-Based Driveline Estimation and Mapping. This invention combines road-level map data with driveline data representing road users’ paths. It identifies intersections, matches road sections with driveline data, and groups map elements according to lane counts and their changes. The resulting map can be supplied to a vehicle control system as an input for vehicle operation.
Career Highlights
Cheng’s listed company affiliations include Nissan North America, Inc. and Nissan Motor Corporation. His patent work reflects an emphasis on mapping and estimation methods that can support vehicle navigation and control.
Collaborations
Cheng’s listed coworkers include Christopher Ostafew and Chikao Tsuchiya.
Conclusion
Hsin-Min Cheng’s two patents address complementary challenges in vehicle technology: estimating lane structure and building data-based driveline maps for vehicle control.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile