Company News

Paper accepted for publication in the IEEE Transactions on Systems, Man, and Cybernetics: Systems

| Project

Collaborating with Nanjing University of Science and Technology (NUST), Panasonic R&D Center Singapore co-authored a paper titled “Modular Lightweight Network for Road Object Detection using a Feature Fusion Approach”, which has been accepted for publication in the IEEE Transactions on Systems, Man, and Cybernetics: Systems. The paper presents a modular lightweight Deep Learning model for detection of road objects such as cars, pedestrians and cyclists. In a situation where objects are far away from the camera and small in size, we utilize a fast and efficient network architecture, referred to as modular feature fusion detector (MFFD), to give evidence of the improvement of ThinNet.

Back

Share

Panasonic launched a “Panasonic Deep Tech Innovation Challenge” inviting local start-ups to leverage Panasonic’s technology & patents for business creation

Panasonic R&D Center Singapore has launched a Panasonic Deep Tech Innovation Challenge organized by Panasonic, ICMG and ACE. This Challenge…

Panasonic tops MS-Celeb-1M Challenges

Panasonic R&D Center Singapore, in collaboration with the National University of Singapore (NUS), has achieved the No. 1 position in MS-Celeb-1M Challenge 2017 , which is organized by Microsoft, for both Challenge 1 and Challenge 2. The results are in alignment with our mission to promote Panasonic’s outstanding Face Recognition technology worldwide.

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

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)

The ITS Summit Singapore 2017 @Marina Bay Sands

Panasonic R&D Center Singapore partook in a 2-day Intelligent Transportation Society (ITS) Summit Singapore 2017, which attracted more than 300 delegates, industry partners and speakers from the Asia Pacific countries. At this summit, we showcased our initiatives in autonomous automotive technologies and solutions as well as our efforts to accelerate Singapore’s Autonomous Vehicle landscape.