Allison Liemhetcharat

Title: Allison Liemhetcharat and High-Fidelity Autonomous Vehicle Validation.

Introduction

Allison Liemhetcharat is an inventor associated with San Ramon, California. Her patent work addresses the validation of autonomous vehicle systems using logged data and controlled variations to detected obstacles.

Latest Patents

The provided information lists one patent for Liemhetcharat: “High-fidelity variation of detected obstacles in autonomous vehicle logs.” The method uses log data containing sensor observations and event information about an autonomous vehicle and nearby obstacles. It identifies an obstacle’s coordinate region, supplies actual or synthetic obstacle-parameter values to a planner, and then reruns perception with updated values. The system compares the resulting vehicle-parameter values to generate a validation result. This approach supports testing how changes to detected obstacles may affect autonomous vehicle behavior. Liemhetcharat is credited with 1 patent.

Career Highlights

The supplied information identifies Liemhetcharat as working at DoorDash, Inc. Her listed patent focuses on autonomous vehicle perception, planning, and validation.

Collaborations

The provided information names Chuang Wang as a coworker. It does not specify whether Wang collaborated on the patent.

Conclusion

Allison Liemhetcharat’s listed invention applies high-fidelity obstacle variations to autonomous vehicle logs, offering a method for evaluating how perception changes influence planner outputs.