Company Filing History:
Years Active: 2022-2023
Title: Innovations by Mohammad S Huq in Vehicle Localization and Control
Introduction
Mohammad S Huq is an accomplished inventor based in Hamtramck, MI (US). He has made significant contributions to the field of vehicle technology, particularly in the areas of lane-level localization and automated vehicle control. With a total of 2 patents, his work is paving the way for advancements in autonomous driving systems.
Latest Patents
Huq's latest patents include "Techniques for vehicle lane level localization using a high-definition map and perception sensors." This invention utilizes multiple perception sensor systems to determine the vehicle's position relative to its environment. It incorporates a map system that maintains lane line data and a controller that detects the vehicle's position and lane lines. The aligned set of lane lines is then used to enhance the vehicle's autonomous driving capabilities.
Another notable patent is "Automated vehicle lane change control techniques." This invention outlines a system that determines the current lane and the target lane for an automated lane change. It calculates the desired yaw rate based on the vehicle's speed and establishes control points to guide the vehicle along a desired path during the lane change. This innovation aims to improve the safety and efficiency of automated driving systems.
Career Highlights
Huq is currently employed at FCA US LLC, where he applies his expertise in vehicle technology. His work focuses on developing innovative solutions that enhance the functionality and safety of autonomous vehicles.
Collaborations
Huq collaborates with talented individuals such as Zijian Wang and Peter Isho, contributing to a dynamic team that drives innovation in the automotive industry.
Conclusion
Mohammad S Huq's contributions to vehicle localization and automated control systems are noteworthy. His patents reflect a commitment to advancing technology in the automotive sector, making significant strides toward safer and more efficient autonomous driving solutions.