{"id":9868,"date":"2021-02-20T17:45:03","date_gmt":"2021-02-20T16:45:03","guid":{"rendered":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/?p=9868"},"modified":"2021-02-20T17:45:03","modified_gmt":"2021-02-20T16:45:03","slug":"torc-robotics","status":"publish","type":"post","link":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/2021\/02\/20\/torc-robotics\/","title":{"rendered":"Torc Robotics selects Amazon as cloud provider for autonomous truck fleet"},"content":{"rendered":"

According to AWS, its capabilities are designed to provide rapid, secure data transfer, intelligent tiered storage, managed orchestration and analytics tools, and high-performance multi-core CPU and GPU compute to help Torc rapidly scale its platform.<\/span><\/p>\n

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Torc Robotics has selected Amazon Web Services (AWS) as its preferred cloud provider to handle the scale and speed needed for data transfer, storage, and compute capacity as the company prepares to deploy its fleet of next-generation self-driving test trucks in New Mexico and Virginia.<\/span><\/p>\n

With the growth in test fleet size, number of routes, and sensor capability, there is an increase in data ingestion and analysis needs by engineering teams in the U.S. and in Germany.<\/span><\/p>\n

\u201cOur next-generation fleet of test trucks will help us rapidly grow our capabilities and accelerate the commercialization of Level 4 self-driving trucks,\u201d said Michael Fleming, Torc\u2019s CEO. \u201cOur ability to handle the data involved must be able to keep up \u2013 whether it\u2019s for transfer, storage, or scaling our simulation capability. With AWS, we have a trusted solution that provides the computing scale, transfer speed, and security when we need it.\u201d<\/span><\/p>\n

According to AWS, its capabilities are designed to provide rapid, secure data transfer, intelligent tiered storage, managed orchestration and analytics tools, and high-performance multi-core CPU and GPU compute to help Torc rapidly scale its agile and cost-efficient development platform and accelerate its testing and commercialization of the technology.<\/span><\/p>\n

\"TorcPhoto: Torc Robotics<\/span><\/span><\/p>\n

\u201cThe race to develop self-driving vehicles generates massive volumes of data from many types of sensors. With AWS, Torc engineers have the speed, flexibility, and insights they need to design tests, run simulations at scale, and refine their experiments using a broad range of highly specialized compute instance types,\u201d said Wendy Bauer, director of automotive sales at AWS. \u201cBy pairing Torc\u2019s industry-leading technology with AWS\u2019s reliability, security, and deep expertise in autonomous vehicle development, Torc is positioned to remain a leader and introduce the benefits of self-driving trucks to society.\u201d<\/span><\/p>\n

Torc\u2019s test fleet in New Mexico is already generating petabytes of data (1 petabyte is 1 million gigabytes) from tests on public roads. Torc\u2019s end-to-end software stack collects and processes raw data from multiple sensors such as lidar, radar and cameras. In addition to the expansion of routes and fleet size, the next generation of test trucks has integrated more sensors at higher resolutions to enhance object detection at longer ranges \u2014 further increasing the magnitude of data for analysis, simulation, and machine learning.<\/span><\/p>\n

\u201cWe believe this relationship between Torc and AWS brings together two very strong teams and is another milestone on our road to Level 4 trucks,\u201d said Peter Vaughan Schmidt, Head of Daimler Trucks\u2019 Autonomous Technology Group, which Torc is a part of. \u201cDaimler Trucks\u2019 goal is to enable safe deployment of self-driving trucks and shape the future of the trucking and logistics industry at large.\u201d<\/span><\/p>\n

Amazon Web Services<\/span><\/h3>\n

Torc\u2019s Level 4 self-driving vehicle system utilizes onboard computers that process sensor data in real-time and host software that handles the dynamic driving tasks during autonomous runs. Torc will leverage AWS to increase the efficiency of data transfer from its on-road routes as their team continues to enhance the system.<\/span><\/p>\n

\u00a0\u201cAWS is an ideal platform for the ingest, storage, and post-processing of massive amounts of data collected by our on-road test fleet,\u201d explained Ben Hastings, Torc\u2019s CTO.<\/span><\/p>\n

Torc\u2019s development team will utilize AWS for both low- and high-demand tasks, as well as data sharing across remote teams. Torc will leverage AWS-managed services such as Amazon Elastic Kubernetes Service for running simulation software at scale, Amazon Managed Streaming for Apache Kafka, Amazon Managed Workflows for Apache Airflow, and Amazon Simple Storage Service Intelligent-Tiering to efficiently manage test data and support regulatory compliance. This integration on AWS will allow Torc to transfer massive amounts of data for log analysis of real-world tests, while also providing computational power for simulation and deep learning.<\/span><\/p>\n

\u201cOur software is tested in simulation using a combination of synthetic scenarios and replayed sensor data,\u201d said Hastings. \u201cThese tests often stack up in ways that create significant peak demands for compute resources. With AWS, we get a solution that can dynamically scale to meet the needs of the engineering and virtual testing teams without having to acquire and maintain our own datacenters.\u201d<\/span><\/p>\n<\/div>\n

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Source: https:\/\/www.fleetowner.com<\/a><\/span><\/p>\n<\/div>\n

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The audit is a key tool to know the overall status and provide the analysis, the assessment, the advice, the suggestions and the actions to take in order to cut costs and increase the efficiency and efficacy of the fleet. We propose the following fleet management audit.<\/p>\n

FLEET MANAGEMENT AUDIT<\/strong><\/a><\/h3>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

According to AWS, its capabilities are designed to provide rapid, secure data transfer, intelligent tiered storage, managed orchestration and analytics tools, and high-performance multi-core CPU and GPU compute to help Torc rapidly scale its platform. Torc Robotics has selected Amazon Web Services (AWS) as its preferred cloud provider to handle the scale and speed needed…<\/p>\n","protected":false},"author":3,"featured_media":9869,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[18],"tags":[8,28],"_links":{"self":[{"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/posts\/9868"}],"collection":[{"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/comments?post=9868"}],"version-history":[{"count":1,"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/posts\/9868\/revisions"}],"predecessor-version":[{"id":9870,"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/posts\/9868\/revisions\/9870"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/media\/9869"}],"wp:attachment":[{"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/media?parent=9868"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/categories?post=9868"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/wp-json\/wp\/v2\/tags?post=9868"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}