Kaiqiao Tian
Senior Sensing Technologies and Algorithms Research Engineer @Ford Motor Company
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WORK HISTORY
Senior Sensing Technologies and Algorithms Research Engineer @Ford Motor Company
Dearborn, MI, US
Developed camera simulation workflows in Ansys SPEOS to replicate real-world external sensing environments, including realistic lighting, material reflectance, and multi-camera field-of-view modeling for L2/L3 AV camera design. Built a multi-camera robotic ground-truth platform using a 6-DoF Denso robot arm to generate accurate 3D eye-position Ground Truth for evaluating multiple face-detection and gaze-estimation algorithms.(Patented) Developed multi-modal sensing models (RGB/IR/ToF/stereo/depth) and Python pipelines for synchronized data capture and built millimeter-level eye-tracking algorithms (driver monitoring systems) leveraging the generated datasets. Designed digital twin simulation environments for in-cabin sensing (camera and radar) using NVIDIA Isaac Sim, generating synthetic datasets to support AI-based eye-tracking and driver monitoring model development.
EDUCATION
Oakland University
Master's degree, electrical and computer Engineering
Oakland University
Doctor of Philosophy - PhD, Electrical and Computer Engineering
ABOUT KAIQIAO TIAN
I am a Senior Sensing Technology and Algorithm Engineer at Ford Motor Company with a Ph.D. in Electrical and Computer Engineering, specializing in autonomous systems, multi-sensor perception, robotics, and AI-driven sensing technologies.My work focuses on developing advanced sensing and perception systems for autonomous driving and intelligent robotics, including camera, LiDAR, radar, UWB, and depth sensing technologies. I have extensive experience in sensor fusion algorithms, multi-sensor calibration, computer vision, and 3D geometric perception.At Ford, I work on next-generation sensing technologies and digital twin simulation, including camera simulation workflows in Ansys SPEOS, in-cabin sensing evaluation platforms, and synthetic data generation using NVIDIA Isaac Sim for AI-based eye-tracking and driver monitoring systems.Previously, I worked on autonomous vehicle perception and sensor fusion algorithms, developing multi-sensor tracking pipelines and LiDAR–camera calibration methods for real-world AV systems.My research and industry experience span:• Autonomous driving perception and sensing systems• Multi-sensor fusion (LiDAR, radar, camera, UWB)• Robotics and autonomous systems• Computer vision and 3D geometric perception• Digital twin simulation and synthetic data generation• AI-based driver monitoring and eye-tracking systemsI enjoy building systems that connect real-world sensing hardware, robotics platforms, and AI algorithms to advance autonomous technologies.
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