Taiwan’s independently developed autonomous driving technology is surging ahead. oToBrite and the National Center for High-performance Computing (NCHC) of NARLabs have joined hands to develop an AI perception and recognition system using the Taiwan Computing Cloud (TWCC), creating a memory-type automated valet parking system and taking Taiwan to level 4 of driving automation. oToBrite CEO, Roy Wu, remarked that by using TWCC for deep learning, the time it takes to model each individual intelligent driving training exercise was halved, while technical upgrades will be at least four times faster. Taiwan’s emergence on the international autonomous driving market is no longer a distant dream!
AI Deep Learning Models, Enabling Vehicles to Recognize Roads and Develop Memory
A Boston Consulting Group (BCG) survey focusing on residents of Asian cities found that every driver spends an average of 9,360 minutes on parking each year; while 43.5% of respondents to a World Economic Forum (WEF) survey of 27 countries believed the demand for autonomous driving is a result of parking difficulties. Therefore, autonomous parking has always been a key field for the autonomous driving technology industry.
oToBrite set about building the automated valet parking system with a view to keeping in step with international developments and coming to grips with key technologies for the domestic market. The evolution from working within the driver’s line of sight to version 2.0 of this technology allows the vehicle to travel within 100 meters and into a memorized parking space without a driver. All you need to do is let the vehicle learn this route once and it will be able to safely and accurately complete the parking, saving the driver a considerable amount of time.
The system primarily uses AI perception and recognition technology, along with the vehicle’s four surround view cameras integrated with twelve ultrasonic sensors. Deep learning models trained by TWCC allow vehicles to perceive of their surroundings and recognize objects, clearly identifying parking spaces, parking lot striping and obstacles, seemingly giving cars a sense of sight. With the technology of Simultaneous Localization And Mapping (SLAM) for positioning and navigation, and combine with electronic vehicle controls, vehicles can travel along previously memorized routes.
TWCC’s supercomputing capabilities have already assisted oToBrite in conducting over a million parking training sessions and will continue to do so in future updated exercises. TWCC has also contributed to cutting oToBrite’s AI model deep learning time in half while allowing the company to concurrently work on a variety of developmental pursuits, making their progress four times faster. With such rapid advancement, key technologies will be mastered sooner and brought to the international market.
The Memory-Type Automated Valet Parking System, Letting Your Car do the Parking Is No Longer a Dream
oToBrite CEO, Roy Wu stated that the company has already succeeded in developing the memory-type automated valet parking system, and if it were combined with high-definition maps, in the future the idea of letting your car do the parking in an unfamiliar parking lot would no longer be a dream. oToBrite aims to use its integrated level 4 technology and cooperate with international car manufacturers to break into the automated vehicle supply chain.
NCHC director general Shepherd Shi mentioned that the integration of autonomous vehicle technology with visual image recognition and IoT sensing technology is the field best suited to TWCC’s high-speed GPU framework. NCHC hopes to aid the domestic autonomous vehicle industry in building a firm foundation and bringing their innovations to the world.
Full description and video (in Chinese):
Website: https://www.nchc.org.tw/Message/MessageView/3686?mid=42&page=1
Video: https://youtu.be/S7AHCfOc_hg
About NCHC:
The NCHC of NARLabs effectively integrates high-performance computing, 100G academic research network and national-level AI cloud service resources, pROViding a large-scale shared high-performance computing environment and putting in place a foundation for Taiwan’s technological prowess. Aside from enabling industry, academia, government and research facilities to develop AI applications, NCHC hopes to bring together government information and AI technology from other institutions. These endeavors will create high-value, practical knowledge and upgrade Taiwan’s industrial innovation.
About oToBrite:
oToBrite was founded in February 2013 in Hsinchu, Taiwan. It is currently doing its utmost to apply AI and deep learning to the development of advanced driver assistance systems (ADAS), automated parking systems (APS) and automated valet parking systems (AVP). In the future, oToBrite will continue to use system integration and AI in developing smart driving applications. oToBrite hopes to make a contribution to the universalization of driver assisted systems and autonomous driving. By collaborating with international car manufacturers, oToBrite pROVides a more economical, more intuitive and safer driving experience.
About TWCC
Taiwan Computing Cloud is a platform powered by the supercomputer TAIWANIA 2. With the latest container technology and AI software stacking, developers are able to quickly deploy their development environments with a 40% increase in efficiency. Simultaneously supporting large numbers of nodes and GPUs increases multi-node parallel computing power by 30% when compared to current cloud services. Aside from pROViding fast computation, vast storage and safe networks, this platform integrates AI programs and tools from a wide range of domestic industries as well as domestic and international databases. These resources are collated into Taiwan’s largest model and data markets, pROViding industry, academia and research facilities with faster, more convenient computing services.
