BlogCategoryTag

Header

Footer

PreFooter

ProseBlock

Blog

SocialLinks

Prose

AnnouncementContextProvider

UnnamedGlobalGroupOfVariants2

Screen

Segment

Experiment

Experiment2

scale.com (Production)

plasmic-nav

plasmic-embed-css

plasmic-basic-components

plasmic-tabs

plasmic-cms

react-chartjs-2

react-slick

react-quill

The Scale Team

Product

Have you ever missed the on-ramp for a freeway because you were in the wrong lane? Or had to circle a block in search of a package drop box or specific entrance? These moments may just be minor, albeit annoying, inconveniences for us as individuals. But for autonomous vehicles, ride sharing, or logistics companies that make thousands of daily trips and deliveries, the costs of such navigation errors add up quickly. Companies that depend on high-quality maps for precise navigation have two off-the-shelf solutions:<ol><li>Regular map applications like those used by individual</li><li> consumers do not provide enough detail and users can’t layer their own data</li><li> on top of these maps in a scalable way.</li><li> </li><li>HD map companies offer more turnkey solutions but customers</li><li> still can’t edit or update the data themselves because the maps are owned by</li><li> the mapping companies. Furthermore, it’s a time-consuming process to get</li><li> maps updated and customers must wait for vendors to cover new regions.</li><li> </li><li> </li></ol> Lacking a viable off-the-shelf option, many companies opt to build their own maps. Scaling the process to generate large volumes of extremely precise annotated map data poses the same challenges as scaling data pipelines for any other AI application.<h2>Introducing: Scale Mapping</h2> <a href="https://scale.com/mapping" rel="noopener noreferrer" target="_blank">Scale Mapping</a> gives customers the most flexible, scalable, and transparent mapping solution. With Scale Mapping, customers can generate high-precision maps down to the centimeter level for simulations and real-world testing, enhance prediction and motion planning by effectively predicting another agent’s intent, train perception models to live-detect map features, and improve navigation and route planning to maximize efficiency.<h3>How It Works:</h3> High-precision annotations of large-scale maps are extremely challenging. To minimize cognitive load for human annotators (Taskers) and to maximize labeling efficiency and accuracy, Scale Mapping first breaks map sections down into tiles. From there Taskers start with vector annotations, or annotations of physical map features such as lane boundaries and crosswalks. Once the vector annotations are complete, semantic annotations — or the annotation of concepts — such as the location of package drop boxes or a bike lane becoming a turn lane is layered on. Lastly, relationships between map features and map semantics are linked, such as a traffic light to a specific traffic lane. After all three layers of annotations are complete, the individual map tiles are stitched back together to create a comprehensive map.<img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/b4e2e6c5-8eb3-4305-9a65-afb211dbc100/public" alt="How Scale Mapping Works Diagram"> <h2>Real-World Impact</h2> Because it can support data inputs from LiDAR sensors, cameras, and even existing maps, this workflow allows customers to develop, update, and own their own proprietary HD maps at speed. Scale Mapping is already trusted by leaders in the autonomous driving industry. Nuro, one of the leaders in the self-driving delivery space, and Domino’s, the largest pizza company in the world based on global retail sales, launched autonomous pizza delivery in Houston. Nuro’s R2 robot is the first completely autonomous, occupantless on-road delivery vehicle with regulatory approval from the U.S. Department of Transportation. <iframe class="ql-video" frameborder="0" allowfullscreen="true" src="https://nuro.sfo3.digitaloceanspaces.com/Nuro-Delivery-B-Roll-2021.mp4?mtime=20210411191557&amp;focal=none"></iframe> Scale partnered with Nuro to improve perception and mapping models for the R2, starting with providing high-quality, rapidly labeled data. With Scale Mapping, Scale is moving up the autonomous driving stack by enhancing localization and mapping capabilities. Put simply, the R2 needs to know where it is, what’s around it, where it’s going, and how to get there. The data Scale provides lets the R2 do exactly that while ensuring the safe, accurate, and efficient delivery of pizzas. <img src="https://imagedelivery.net/wLbZE4_NzVVdgHc15St55g/d156b7f7-dc7e-4f28-0442-9c4317206b00/public" alt="Nuro Quote"> In terms of the impact across our Nuro projects, we doubled the amount of data annotated from 2020 to 2021. Talk to our team today for a demo and more information about our industry-leading quality with transparency, flexibility, and rapid turnaround.

The flexible solution to develop and scale your own custom maps.

Introducing: Scale Mapping

Own Your Own Maps. Introducing: Scale Mapping

open-dataset-nucleus

slugs must be all lowercase. ie: ‘my-slug’

events-banner

This entry represents both interview quote highlight and interview chat highlight because of Builder limitations. Choose the fields that matches either of them.

interview-highlight

If it's selected, the author and quote fields will be taken, otherwise the chat fields. The default is for chat.

resources-download-model

transform-session

CTA to open the session. Leave blank if you don't want a cta for that session

Link for the CTA. Usually the link to the exchange session

blog-filter-type

event-transform-x-ticket

solution

homepage-quotes

logos

homepage-content

builder-debug

transfrom-x-in-person

event-model

Toggle if the event is featured. Featured events will be moved to the top of the list

guides-cta

summit-2023-partners

sales

z[deprecated] page

quotes

z[deprecated] compare

product

blog-category-model

announcement-banner

accelerate

Vercel Powered and Edge Computed OG Image. Preferred over og img file upload. If this field is non empty, it will take precedent over the uploaded file

summit-2023-speakers

homepage-resources

customers

Display order on the page /customers. Higher values show first

page-cross-product-webinar

interview

event-transform

Event model for new marketing events page

event-2-0

homepage-event

custom-fonts

transform-x-speaker

Be careful to not add any trailing white spaces to the slug. Slugs must be all lowercase. ie: ‘my-slug’

Order of the featured speakers displayed on the home page for transformX

z[deprecated] document-ai

summit-2023-agenda

event-converge

hosts

author

transform-x

Page: /In-Person. Section: Hero. Text: Title Text

Page: /In-Person. Section: Slider Card. Text: Title Text

Page: /In-Person. Section: Slider Card. Text: Card Body

Page: /In-Person. Section: Hero. Text: Tagline

open-dataset

z[deprecated] customers

URL redirections for Website. Disclaimer: takes 5~ min for each added or edited.

url-redirects

Use relative path. use `/blog/foo` not `https://scale.com/blog/foo`

legal

event

Optional second image intended to show on the grid view, should be a more squared image closer to 1:1 aspect ratio than the one used in the Cover field.

guides

z[deprecated] guides-old

z[deprecated] guides-lp

partners

blog-model

Option to list or not list this post in the Blog index. Enabled = not list in the index, Disabled = list in the index

Products

Government

Solutions

Resources

Customers

Pricing →

Own Your Own Maps. Introducing: Scale Mapping

The future of your industry starts here.