This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Ford Global Technolgoies, LLC. 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: Pradeep Rajalingam and Vehicle Object Detection
Introduction
Pradeep Rajalingam is an inventor associated with Woodhaven, Michigan, and Ford Global Technologies, LLC. His patent work includes a vehicle-safety system designed to support lane-change decisions using predicted vehicle trajectories and sensor data.
Latest Patents
The provided information identifies one patent for Rajalingam: “Object Detection.” The invention describes a computer system with a processor and memory that determines a predicted trajectory for a second vehicle in a third lane using one or more side-looking sensors. When the distance between that trajectory and the first vehicle’s predicted trajectory exceeds a threshold, the system can actuate the first vehicle to perform a lane change. Rajalingam is credited with 1 patent in the supplied data.
Career Highlights
Rajalingam’s listed patent reflects work on applying object detection and trajectory analysis to vehicle maneuvering. The system is intended to help assess whether a lane change can proceed based on the predicted positions of nearby vehicles.
Collaborations
The supplied information lists Christopher Rawsky and Jay Patel as Rajalingam’s coworkers. It does not specify their roles in the patent or describe particular collaborative contributions.
Conclusion
Pradeep Rajalingam’s listed patent focuses on using sensor-based trajectory predictions to inform lane changes, highlighting a practical application of object detection in vehicle safety.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile