R&D of intelligent sensing technologies
We are embarking on joint research and development with Asia Mobiliti to apply mmWave radar and LiDAR technologies to develop machine learning applications for vehicle detection and monitoring.
Asia Mobiliti will be funding three-year doctoral research that involves constructing detection algorithms and machine learning models using sensor-generated data to enable high-accuracy, robust, real-time vehicular traffic monitoring and streetside parking detection systems.
An integrated view of traffic, parking and pedestrian flows for cities, and urban spaces will connect digital experience in urban mobility.
The collaboration will have joint oversight and direction from Asia Mobiliti and Monash University Malaysia with a clear use-case for commercialisation. This collaborative approach towards R&D, with the pairing of an established global university with a local high-tech start-up, allows for cutting-edge research to be conducted focusing on the market and industry requirements.
Asia Mobiliti's IoT development team will actively support the doctoral student. To date, the in-house lab has produced innovative IoT devices for telematics and asset tracking that powers Asia Mobiliti's platform of mobility data and analytics.
"This collaboration is strategic with a longer-term goal. It is also immediately fulfilling as it injects academic research rigours into our IoT research efforts while providing us with an exciting product roadmap for 2021 and beyond. It exhibits our commitment as a start-up in building exciting future-proof products while generating valuable intellectual property along the way," explains CEO & Co-founder of Asia Mobiliti, Ramachandran Muniandy.
The partnership between Asia Mobiliti and Monash University Malaysia began prior to the doctoral research when the same student's undergraduate research was co-sponsored by Asia Mobiliti, resulting in a research paper that is being peer-reviewed at present (Jan 2021) for publication. The research centred on the use of millimetre-wave radar imaging and vision-based detection for drones using machine learning. The undergraduate research yielded computer vision and perception methods that can be combined with machine learning to develop a reliable system to detect drones. As drone technologies mature and applications widen, drone detection will be crucial to address security, safety, and privacy concerns.
"This research collaboration further strengthens our IoT Research Lab efforts towards translational research roadmap. Monash University Malaysia's IoT Research Lab, in collaboration with Asia Mobiliti, is actively working on ways to improve the quality of transportation in our cities with the use of cutting-edge technology," added lead research supervisor Ir. Dr Joanne Lim Mun Yee.