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Our COO Wei Luo presented last week to a Harvard Business School class on entrepreneurship and value chain strategy, taught by visiting assistant professor Abhishek Nagaraj.

During the lively class, the participants discussed DeepMap’s role in the autonomous driving ecosystem as a provider of open mapping technology for automakers and suppliers worldwide.

DeepMap has created a highly-detailed map of the California interstate highway system for autonomous cars and trucks (Level 2+ to Level 4).

We call this initiative “Project Gold Rush” as a hat tip to the Golden State’s history of exploration and discovery.

Below is a compilation of the map and map features created:

The data set…

  • covers 19,500 lane miles,
  • extends from the Oregon/California state line to San Diego,
  • and includes all major highways and interstates.
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In the in-car camera view, you can see a perfectly overlaid semantic map with road boundaries highlighted in yellow, lane lines highlighted in green, centerlines highlighted in turquoise with green arrows, road signs bounded in green boxes, and poles highlighted in red.

To cap off a rollercoaster of a year, we invited Brad Templeton to present a year-end Deep Dive to DeepMap employees. Brad discussed mapping technology for semi-autonomous and autonomous vehicles (AVs), and provided an analysis of significant events in the AV space in 2020.

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Detailed Maps = Advanced Knowledge
Brad spoke about the importance of highly-detailed maps, such as those from DeepMap, for semi-autonomous and autonomous driving. This type of map is designed to be read by machines, rather than humans. …

GeoSpatial World is a global organization that raises awareness about the tremendous potential of geospatial technologies. Recently they invited DeepMap to present our perspectives on HD mapping and Level 2+ / Level 3 autonomy. We were delighted to do so.

You can read the full GeoSpatial World post, authored by Dr. Erwin A. Frei, here. We’ve summarized it below:

Maps are Key to Safe, Comfortable Hands-Off Driving

Many vehicle owners are familiar with automated safety features that fall under the umbrella term of Advanced Driver-Assistance Systems (ADAS). Examples of ADAS features available today include:

  • Adaptive cruise control,
  • Automatic braking,
  • Collision avoidance systems,
  • Lane-change assistance, and more.
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Fig. 1: ADAS systems use automated technology, such as sensors and cameras, to detect obstacles or driver errors, and respond accordingly. Source: Robotics & Automation News, Wikipedia.

Automakers are…

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Every quarter, we like to send our friends, supporters, and partners a curated update on what we’ve been up to here at DeepMap. Below, you will find our Quarterly Newsletter: November 2020 Issue. If you would like to keep up-to-date on DeepMap news, you can subscribe to our newsletter here.

Dear DeepMap customers, partners, and supporters:

As we approach the close of the year, we hope you, your families, and your colleagues are staying safe and healthy.

To say that 2020 was unusual is an understatement. But innovation never sleeps, and there were bright spots in the autonomous-driving industry this…

The following is an extract from an AWS Machine Learning Blog post by Frank Wang, Shishuai Wang, Tom Wang, and Yu Zhang, Nov. 2020

Although we might think the world is already sufficiently mapped by the advent of global satellite images and street views, it’s far from complete because much of the world is still uncharted territory. Maps are designed for humans, and can’t be consumed by autonomous vehicles, which need a very different technology of maps with much higher precision.

DeepMap, a Palo Alto startup, is the leading technology provider of HD mapping and localization services for autonomous vehicles. These two services are integrated to provide high-precision localization maps, likely down to a centimeter precision. This demands processing a high volume of data…

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Dr. Erwin A. Frei, VP of Corporate Development, DeepMap

DeepMap’s VP of Corporate Development, Dr. Erwin Frei, participated in a roundtable last week hosted by Girish Joshi, Director Americas, Geospatial Media & Communications.

The conversation covered topics such as:

  • Critical role of location, maps, and AI in autonomy
  • Sensor fusion and sensor advancements
  • What is missing today, tech or regulations? Or both?

In his intro, Erwin showed a video highlighting DeepMap mapping technology in a variety of situations, including highways, sparse environments, and tunnels.

Erwin then discussed the critical “drivers” for automated and autonomous driving: safety, comfort, and efficiency. …

From time to time, DeepMap shares perspectives from industry experts on our blog. Today we recommend Brad Templeton’s commentary on Tesla’s “Full Self-Driving” beta.

In a 10/23/20 Forbes article, analyst Brad Templeton provides an overview of the recent “Full Self-Driving” (FSD) beta released by Tesla. Templeton writes: “The package is impressing many of these owners. A few have posted videos to Youtube showing the system in operation on city streets.”

Templeton presents a list of the “big questions” posed by the controversial beta release. Of particular relevance to DeepMap is the following:

→ How does Tesla’s decision to avoid…

Today we announced DeepMap HDR™ (High-Definition Reference), a service for companies who are building hands-free Level 2+ driving systems using crowd-sourced maps.

Complementing existing perception-based Level 2+ autonomy platforms, DeepMap HDR registers and aligns crowd-sourced perception outputs to generate and update live, high-fidelity maps.

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James Wu, DeepMap Co-Founder and CEO, said, “DeepMap HDR solves a critical piece of the puzzle for companies seeking to validate and improve crowd-sourced mapping data. We developed this service to enable our customers to offer safe, reliable, and high-performance hands-free driving, while expanding the Operational Design Domain (ODD) of next-generation consumer vehicles.”

The announcement was…

DeepMap Co-Founder and CEO James Wu sat down with Grayson Brulte for an interview on The Road to Autonomy, Grayson’s self-driving car podcast. In the interview, the two discussed a wide range of issues, including how HD maps are enabling all SAE Levels of autonomy, from Level 2+ to Level 4.

To start, James described three observations that inspired him and Mark Wheeler, DeepMap Co-Founder and CTO, to start DeepMap in 2016:

  1. At the time, existing autonomous vehicle (AV) companies were trying to build their own HD maps from scratch. …

DeepMap, Inc.

DeepMap provides HD mapping and localization solutions critical for autonomous vehicles.

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