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AAE Student Won 1st Runner-Up at AI x HK OpenCup 2022

19 Dec 2022

Student Achievement

AAE student Mr Fuad Hasan (middle) and an ME student Mr Hamad Khan (left) won the Finalist Award and the 1st Runner-Up at AI x HK OpenCup 2022. The group is supervised by Dr Hailong Huang.

Dr Hailong Huang (left) attended the award presentation ceremony and witnessed Mr Hamad Khan (middle) and Mr Fuad Hasan’s (right) achievements.


One of our AAE students, Mr Fuad Hasan, in collaboration with an ME student Mr Hamad Khan, won the Finalist Award and the 1st Runner-Up Award in the Tertiary Students Category at AI x HK OpenCup 2022 for their project “AICAS: Artificially Intelligent Collision Avoidance System”. The project was a sub-project within the AAE Final Year Project “Trajectory prediction and planning, and assistance control: Towards the Predictive Advanced Driver-Assistance System (P-ADAS)” under the supervision of Dr Hailong Huang.

 

AI x HK OpenCup 2022 was organized by Hong Kong Baptist University in collaboration with the Hong Kong Society of Artificial Intelligence (HKSAIR) and sponsored by Nvidia, Microsoft, Huawei, ASTRI, etc. It invites students in Hong Kong to address real-world problems with AI technologies focused on four Sustainable Development Goals (SDG) of the United Nations (UN). Participants are expected to ideate innovative AI solutions for addressing challenges in the Hong Kong context, to make a positive social impact and promote sustainability. Among 152 teams, our AAE student’s project AICAS stood Top 2 with a cash award of HK$20,000.

 

AICAS was proposed to tackle the safety issue of risky highway driving in complex lane-changing scenarios. In real-time, it constantly forecasts the complicated future motion of neighbouring vehicles via transformer-based neural networks. It also predicts the driver's intention through a cabin camera via KLT face-tracking and graph-based convolutional neural networks, and compares the intention with the future motion of neighbouring participants to assess risk in real-time via Gauss-Markov process modelling. In a potentially dangerous scenario, it takes over driver controls and executes the maneuver with the lowest risk, thus preventing deadly accidents, saving lives, and providing a massive impact on UN SDG 11.

 

The Department is proud of Mr Hasan’s outstanding performance. Congratulations!


Department of Aeronautical and Aviation Engineering

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