Hongguang Chen

Email: chenhon@chalmers.se

Tel: +46-764510776

CV Github Linkedin

2018

SenseTime MIG - Shenzhen

About Sensetime

2019/07 - 2019/12

SCNU and JIMI technology

About SCNU About JIMI

2019/12-2021/04

SenseTime EIG - Shanghai

About Sensetime

2021/04-2023/08

Inceptio - Shanghai

About Inceptio

2023/08 - now

Chalmers - Gothenburg

2018/10

Intern researcher

The first step in my career.

2018/12

Rover and Ranger prototype

Rover X prototype

A straightforward 4-wheel platform that is compact yet highly functional, built on End-to-End learning. Our aim is to offer students a real-world environment in which they can apply their algorithms and policies.

Camera, lidar, ultrasonic, IMU, Raspberry pi

2019/02

Mass production

we have made made a lot of efforts.

Rover X

Ranger

A Bigger Toy

a bigger toy to present paper: End to End Learning for Self-Driving Cars . it did work very well. A karting-size electromobile + nvidia TX2 + Logitech camera

Graduated from SCNU.

In May, I completed my first internship and returned to university. Then, in July, I obtained my bachelor's degree in communications engineering from South China Normal University. I made the decision to kick off my second internship at a Factory 4.0 company (JIMI), where the focus is on smart pipelines and automated storage systems.

Image algorithm Engineer - Intern.

Completed a machine vision recognition project designed for picking up electronic components.

At the invitation of my former leader, I have officially joined SenseTime.

about MINI, Rover and Storm

Rover Mini

a programable toy car, used for teaching kids python.

Rover Pro

The upgraded version of the Rover project, in which I participated during my internship, serves as an educational platform. It is designed for high school students and university freshmen to gain fundamental knowledge about self-driving technology. This includes topics such as object detection, line tracking, as well as SLAM algorithms utilizing LiDAR technology.

prototype video

Strom

A control box with Raspberry pi inside, similar to LEGO EV3, supporting LEGO sensors, but with more powerful CPU, supporting also camera sensors and various inside AI model, allows kid using LEGO blocks to create things with AI.

Innokit

A box containing an NVIDIA NANO system and multiple ports for adaptable sensors serves as a training platform for college students. It enables them to test and develop their AIOT (Artificial Intelligence of Things) applications."

Self-Driving Truck

The small toy transformed into a substantial endeavor!!! I spent over two years at Inceptio, actively participating in nearly every crucial aspect of building a self-driving car.

Pursuing a master's degree in High-Performance Computation at Chalmers.

We have cool things waiting to be created!