Selected Projects

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Hybrid Motion Planning for Autonomous Driving

HMPL is a real-time C++ motion planning library for autonomous driving that is able to handle task constraints, geometry constraints, nonholonomic constraints and dynamics constraints of cars in a human-like and layered fasion.

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Convex-optimization-based Speed Planning for Autonomous Driving

Speed planning plays an important role in guaranteeing the ride comfort and safety in autonomous driving applications. To address this problem, we develop a complete, flexible, safe, and globally-optimal convex-optimization-based method to solve speed planning problems over a fixed path for autonomous driving in both static and dynamic environments.

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Previous Projects

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Autonomoose

Autonomous driving towards the ultimately level 4 autonomy with the Autonomoose platform in all-weather conditions that are specific to Canada in University of Waterloo. This project has attracted several industrial partners such as RENESAS, DENSO, QNX and Huawei.

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Skyline CES 2017

The Skyline CES (Consumer Electronics Show) 2017 is a demo project to show the functional safety of autonomous driving systems with collaboration of RENESAS, Autonomoose team in UW, QNX, POLYSYNC, AutonomouStuff, and eTRANS.

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Unmanned Ground Vehicle Challenge 2014

We won the second place in ‘Kua Yue Xian Zu’ Unmannded Ground Vehicle Challenge 2014.

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China Intelligent Vehicle Future Challenge 2013

We won the championship in China Intelligent Vehicle Challenge 2013.

Previous Projects Portfolio

Past projects related to autonomous systems that I get involved in. Please find the brief introductions on my old website.