Company News

Panasonic R&D Center Singapore Won the AI Driving Olympics (AI-DO) at NeurIPS (formerly known as NIPS) 2018

December 8, 2018 | Project

Panasonic R&D Center Singapore (PRDCSG) teamed up with the National University of Singapore (NUS) to partake in the inaugural AI Driving Olympics (AI-DO) competition, which took place at NeurIPS (formerly known as NIPS), a top-tier international conference in machine learning, in Montréal, Canada, on 8th December 2018. The Panasonic-NUS team cruised past all the competitors to secure the top spot.

Besting the other participants in the Leaderboards of Lane Following (LF) challenge and Lane Following with Vehicles (LFV) challenge utilizing the Duckietown platform, and subsequently during the live event at NeurIPS 2018, the Panasonic-NUS team was eventually crowned the Winner of the competition.

Reference: https://www.duckietown.org/archives/32095

Share

Related Posts

Panasonic Opens Innovation Hub at Punggol Digital District to Drive AI Smart Building and Robotics Solutions

Singapore, 27 August 2025 – Panasonic R&D Center Singapore (PRDCSG) today announced the opening of its new “Innovation Hub” at…

Read more

Panasonic wins the top spot in a Future Convenience Store Challenge at IREX2019, an International Robot Exhibition 2019

Panasonic R&D Center Singapore (PRDCSG) joined the Nara Institute of Science and Technology, Ritsumeikan University, Panasonic’s Robotics Promotion Office, LS,…

Read more

Mr. Philip Ong of Panasonic R&D Center Singapore has been awarded EnterpriseSG-SSC/SAC Commendation Award

Enterprise Singapore has awarded Mr. Philip Ong with EnterpriseSG-SSC/SAC Commendation Award 2022 for the contribution to the Singapore Standardization Programme…

Read more

Joint collaborations with I2R: achieved the No. 2 position at MEC 2017 plus a paper accepted at ICMI 2017

In collaboration with the Institute for Infocomm Research (I2R), Panasonic R&D Center Singapore achieved the No. 2 position in the audio-visual emotion recognition sub-challenge of the Multimodal Emotion Recognition Challenge (MEC) 2017. The challenge (*1) is aimed at the comparison of multimedia processing and machine learning methods for automatic audio and visual emotion analysis.

Read more