Hyunggi Cho

CEO & Co-founder @ Phantom AI

About

@Phantom AI Phantom AI is a well funded autonomous vehicle startup founded by engineers from Tesla and Hyundai who’ve developed and shipped ADAS (Advanced Driver Assistance Systems). At Phantom, we’ve built cost effective level 2/3 solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and Emergency Lane Support is the first priority before tackling a fully self-driving vehicle. Our vision technology is unique in using a combination of recent deep learning breakthroughs and proven computer vision geometry techniques. Medium term, we’ll build level 4/5 capabilities by adding low-cost and resource-light LiDAR sensors into our vision technology. Our main customers are Tier 1 automotive manufacturers who are today focused on delivering the best level 2/3 solutions and in the future will deliver full autonomy. We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at volume production scale. @Tesla Autopilot As a perception engineer in Tesla Motors, I am working on an autopilot system for Tesla Model S. @Carnegie Mellon Our research platform was the robot 'Boss' which was the winning entry in DARPA Urban Challenge in 2007. I've learned so many amazing stuffs from him such as software infrastructure, sensor drivers, and various perception algorithms. I worked on a vision-based object detection system for pedestrians, bicyclists, and vehicles. I also worked on a multi-sensor fusion system for moving object detection and tracking. For more details, please check my CMU website: http://users.ece.cmu.edu/~hyunggic/

Country

United States

City

Palo Alto

Industry

Automotive

Skill

Pattern Recognition, Computer Vision, Sensor fusion, Mathematical Modeling, Artificial Intelligence, Algorithms, System Design, Machine Learning, C/C++ STL, Linux, Programming, Robotics, Embedded Systems, Sensor Fusion, Simulations, Computer Science, C , C, Matlab, C++

Experience

CEO & Co-founder

Phantom AI

2017-1 - Present · 9 yrs 9 mos

Burlingame, CA

www.phantom.ai

Senior Control Engineer: Environmental Modeling & Computer Vision

Tesla

2014-6 - 2016-12 · 2 yrs 7 mos

San Francisco Bay Area

Autopilot R&D of Tesla Motors. I've been working on several key aspects of perception for Tesla's Autopilot system. - Sensor fusion S/W framework (i.e., sensor data logging, playback, and visualization) - Computer Vision - Localization and Mapping

PhD student

Carnegie Mellon University

2010-8 - 2014-5 · 3 yrs 10 mos

Greater Pittsburgh Area

For my PhD at Carnegie Mellon University (August 2010 ~ May 2014), I worked on a holistic approach to moving object detection and tracking for autonomous driving under supervision of Prof. Vijayakumar and Prof. Rajkumar. My specialty was vision-based object detection (specifically deformable part-based model with HOG features) and multi-sensor fusion (radar, LIDAR, and camera) for multi-object tracking. Skills acquired/achievements: - Mobile robotics theory (SLAM and MOT) - Detection and estimation theory - Linear control theory - Convex optimization theory - Machine learning - Hands-on skill for multiple sensors (radar, LIDAR, and camera) - Publication (5 proceedings/3 journals)

Embedded Linux Kernel Programmer

AL Tech

2004-4 - 2005-5 · 1 yr 2 mos

Gangnam-gu, Seoul, Korea

Responsible for bootloader and Linux kernel customizing for AL Tech’s broadband routers called 'Anygate'. Developed various kinds of device drivers and system management software. Skills acquired/ achievements: - Modification of Linux memory management subsystem for Embedded System - MTD subsystem for NOR and NAND flash memory - Developed several device drivers such as TFT LCD, AC97, and Switch.

Real-Time System Software Programmer

UI Energy

2002-8 - 2004-3 · 1 yr 8 mos

Seoul, Korea

Involved in developing a control software for elevator control panels. Rate Monotonic Analysis, Simulation for the schedulability analysis of real-time systems. Skills acquired/ achievements: - Elevator Sequence Logic - Nucleus, RTOS Programming - Real-Time and Fault-Tolerant Concept

Education

Carnegie Mellon University

Autonomous Driving

2010 - 2014 · 4 yrs

PhD. thesis title is: " Multi-Sensor Fusion Approach to Moving Object Detection and Tracking for Autonomous Driving" Committee: Prof. B.V.K Vijaya Kumar (advisor, CMU ECE) Prof. Raj Rajkumar (CMU ECE) Dr. Paul E. Rybski (Caterpillar Inc.) Dr. Hernan Badino (CMU NREC)