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Hitachi Astemo Develops Prototype 360-Degree Stereo Vision with Multi-Camera 3D Sensing
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Most of the current automated driving systems are limited to highway driving. To enable automated driving systems to be used on general roads, they need to accurately recognize the entire road environment around the vehicle, including a complex mix of objects such as pedestrians and bicycles. Radar and LiDAR systems with high-ranging accuracy, however, still face cost issues before they can see widespread adoption, and all-surrounding-area camera systems, which although are superior in terms of cost,
are mainly based on a monocular camera that is still continually evolving to improve accuracy and other issues.
Hitachi Astemo, together with the Research and Development Division of Hitachi, Ltd., leveraged their strengths in stereo camera technology to develop a prototype of the 360-degree stereo vision system, using multi-camera 3D sensing that enables distance measurement with the stereo camera technology. Instead of the conventional module consisting of two cameras with the same view angle and being nearly parallel to each other, the camera layout has been made more flexible to use a combination of approximately 10 cameras with different angles of view, including non-parallel cameras to provide stereoscopic 3D vision. By integrating multi-camera 3D sensing into a single in-vehicle camera system, the system realizes 360-degree stereo vision, with a cost advantage, high accuracy and resolution.
By generating highly accurate distance information in stereo and all around the vehicle, the system can detect such elements as the distance of a vehicle traveling in the adjacent lane, or a two-wheeled vehicle slipping through a line of cars from behind in a traffic jam. It can estimate the relative speed and direction of movement, and apply this information for vehicle control to avoid collisions and entanglement at intersections. In addition to basic object recognition of objects such as cars, motorcycles, pedestrians, and traffic lanes, the recognition function also includes turn signals, red lights, and brake lights to predict the behavior of other vehicles; as well as traffic signals, road signs, road edges, and free space areas available for driving--all of which are necessary to identify for while driving on ordinary roads.
Furthermore, Hitachi Astemo has improved reliability and environmental resistance in camera sensing such as features to resist water droplets and dirt adhering to the lens surface, or shielding the entire lens in the snow. The AI has learned malfunction patterns caused by these factors and can identify malfunction factors that occur in each camera, thereby preventing malfunctions.
Going forward, Hitachi Astemo will continue to strengthen its 360-degree stereo vision systems that combine cost advantages with high accuracy and resolution, as well as improved reliability and environmental resistance, with the aim to expand the scope of automated driving systems for use on general roads.
Hitachi Astemo is committed to strengthening its business and delivering technological innovation through a strategic business portfolio, which consists of the Powertrain &
Safety Systems business, Chassis business, Motorcycle business, Software business and Aftermarket business. Aiming for a better environment globally and growth around the pillars of "green," "digital," and "innovation," we will deliver highly efficient internal combustion engine systems; electric systems that reduce emissions; autonomous driving for improved safety and comfort; advanced driver assistance systems; and advanced chassis systems. Through such advanced mobility solutions, we will contribute to realizing a sustainable society and provide enhanced corporate value for our customers.
For more information, please visit the Hitachi Astemo website: www.hitachiastemo.com/en/.
Copyright 2022 JCN Newswire. All rights reserved. www.jcnnewswire.comHitachi Astemo, Ltd. has developed a prototype 360-degree stereo vision system for automated vehicles traveling on regular streets. Based on multi-camera 3D sensing, the all-surrounding sensing system is both high-resolution and highly accurate.
Fujitsu, Carnegie Mellon University Collaborate to Develop ‘Social Digital Twin’ Technology for Smart Cities
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A Social Digital Twin digitally reproduces the relationships and connections between people, goods, the economy and society to offer a simulation, prediction and decision making environment in which to solve diverse and complex social issues. This research is the first attempt between Fujitsu and CMU to explore future applications of Social Digital Twins in global communities.
A project through CMU's Mobility Data Analytics Center (MAC) will leverage real world data, including input of traffic regulations and the movement of vehicles, to evaluate the effectiveness of measures designed to dynamically estimate and control traffic flow.
Another project with the CMU's Computational Behavior Lab in the School of Computer Science's Robotics Institute will extend current capabilities in 3D modeling of pedestrians and forecasting their behavior over time in urban environments. This technology can be used to monitor activity on streets and determine where issues or accidents may be taking place.
CMU's efforts will be led by Laszlo A. Jeni, director of the Computational Behavior Lab, and Sean Qian, director of the MAC. Fujitsu and CMU will draw on the findings of these projects to create foundational technologies for Social Digital Twins that will simulate traffic networks and movement patterns of people in real-time. That work will build off of the deployment of the researchers' projects with CMU's transportation research institute, Traffic21.
The researchers anticipate that the Social Digital Twin technology will play an active role in improving efforts to ease congestion, positively influence travel behavior and ultimately help to realize more sustainable and safe cities in the future.
'Converging Technologies' at the Intersection of the Human and Digital Worlds
Within this project, Fujitsu and CMU leveraged so-called "converging technologies," advanced technologies that combine computer sciences and knowledge from the humanities and social sciences, aiming to solve diverse and complex issues faced by cities working toward the realization of a sustainable society. The researchers aim to develop a new platform that delivers a broad set of solutions for a variety of social issues based on highly-accurate simulations of the movements of people and vehicles and the ability to visualize and predict future actions and possible risks based on human behavioral characteristics. By using the newly developed Social Digital Twin platform to analyze and predict the behavior of people and movements of vehicles, the effects and potential risks of interventions can be reflected in advance to optimize outcomes of urban planning and policy.
Outline of the Collaborative Research
Fujitsu and CMU's research will initially focus on developing advanced sensing technology to better understand people's movements, improve behavior forecasting through artificial intelligence, and create Social Digital Twin models to simulate how people interact with goods, the economy and society.
The research will include a Social Digital Twin model based on real-time traffic data from road networks that is able to dynamically understand the daily changing traffic demand of the city. Researchers will be able to use the digital models to test urban traffic solutions to adjust traffic regulations and toll systems in accordance with the efficient traffic flow.
Future Plans
In addition to the analysis of traffic congestion and ways to deliver economic efficiency, Fujitsu and CMU will further leverage the Social Digital Twin platform to promote the verification of detailed measures to solve environmental issues, including the reduction of CO2 emissions and improving urban transportation networks.
The researchers will additionally continue their efforts to contribute to the realization of safe and sustainable next-generation Smart Cities by promoting measures to mitigate pandemics and ensure the flexible, efficient allocation of medical resources while driving economic growth.
About Fujitsu
Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Approximately 126,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited (TSE:6702) reported consolidated revenues of 3.6 trillion yen (US$34 billion) for the fiscal year ended March 31, 2021. For more information, please see www.fujitsu.com.
About Carnegie Mellon University
Carnegie Mellon University (www.cmu.edu) is a private, internationally ranked university with programs in areas ranging from science, technology and business to public policy, the humanities and the arts. More than 13,000 students in the university's seven schools and colleges benefit from a small faculty-to-student ratio and an education characterized by its focus on creating and implementing solutions for real world problems, interdisciplinary collaboration and innovation.
Copyright 2022 JCN Newswire. All rights reserved. www.jcnnewswire.comFujitsu Limited and Carnegie Mellon University researchers today announced the launch of collaborative research projects focused on the development of "Social Digital Twin" technology, with an emphasis on exploring practical applications for their joint research and technology.
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