Live · The Road to Autonomy Indices
.RCI · Robotaxi Confidence Index 50.9 ▲ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 36.6 ▲ +0.6 .ATCI · Autonomous Trucks Confidence Index 40.5 ▼ +0.1 .DCI · Delivery Bots Confidence Index 53.8 ▼ +1.2 Baidu Apollo GoCN 80.5 ▲ +1.6 WaymoUS 77.7 ▲ +0.8 Starship TechnologiesEE 69.4 ▲ +2.6 NeolixCN 62.8 ▼ -7.7 Serve RoboticsUS 62.4 ▲ +3.6 Pony.aiCN 62.0 ▼ -0.4 WeRideCN 58.0 ▲ +4.3 AuroraUS 55.5 ▼ -0.6 CocoUS 54.1 ▼ -3.1 Applied IntuitionUS 53.9 ▲ +10.2 KodiakUS 52.7 ▲ +0.3 Didi Autonomous DrivingCN 50.9 ▲ +1.8 DeepRoute.aiCN 44.4 ▲ +6.2 MeituanCN 44.1 ▼ -6.5 Volvo Autonomous SolutionsSE 43.2 ▲ +1.8 TeslaUS 43.0 ▼ -0.6 Bot AutoUS 42.0 ▲ +8.3 XPengCN 38.2 ▼ -3.3 ZooxUS 38.2 ▼ -1.7 MobileyeIL 36.6 ▲ +4.3 MomentaCN 36.4 ▲ +4.4 Cao Cao MobilityCN 35.5 ▼ -1.9 May MobilityUS 33.0 ▼ -0.4 MotionalUS 32.9 ▼ -0.3 AvrideUS 32.7 ▼ -0.5 WaabiCA 32.4 ▲ +0.2 TorcUS 29.3 ▼ -3.0 DoorDash DotUS 28.8 ▼ -3.7 Avride PodUS 28.0 ▼ -4.4 WayveGB 27.5 ▼ -0.3 MOIA AmericaDE 25.8 ▼ -1.2 VerneHR 23.5 ▲ +1.3 AutobrainsIL 21.8 ▲ +0.1 Stack AVUS 21.4 ▲ +4.5 NuroUS 19.7 ▲ +1.0 Tensor AutoUS 19.5 ▲ +10.2 Helm.aiUS 18.1 – 0.0 PlusAIUS 17.1 ▼ -1.2 HUMAINSA 2.1 – 0.0 .RCI · Robotaxi Confidence Index 50.9 ▲ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 36.6 ▲ +0.6 .ATCI · Autonomous Trucks Confidence Index 40.5 ▼ +0.1 .DCI · Delivery Bots Confidence Index 53.8 ▼ +1.2 Baidu Apollo GoCN 80.5 ▲ +1.6 WaymoUS 77.7 ▲ +0.8 Starship TechnologiesEE 69.4 ▲ +2.6 NeolixCN 62.8 ▼ -7.7 Serve RoboticsUS 62.4 ▲ +3.6 Pony.aiCN 62.0 ▼ -0.4 WeRideCN 58.0 ▲ +4.3 AuroraUS 55.5 ▼ -0.6 CocoUS 54.1 ▼ -3.1 Applied IntuitionUS 53.9 ▲ +10.2 KodiakUS 52.7 ▲ +0.3 Didi Autonomous DrivingCN 50.9 ▲ +1.8 DeepRoute.aiCN 44.4 ▲ +6.2 MeituanCN 44.1 ▼ -6.5 Volvo Autonomous SolutionsSE 43.2 ▲ +1.8 TeslaUS 43.0 ▼ -0.6 Bot AutoUS 42.0 ▲ +8.3 XPengCN 38.2 ▼ -3.3 ZooxUS 38.2 ▼ -1.7 MobileyeIL 36.6 ▲ +4.3 MomentaCN 36.4 ▲ +4.4 Cao Cao MobilityCN 35.5 ▼ -1.9 May MobilityUS 33.0 ▼ -0.4 MotionalUS 32.9 ▼ -0.3 AvrideUS 32.7 ▼ -0.5 WaabiCA 32.4 ▲ +0.2 TorcUS 29.3 ▼ -3.0 DoorDash DotUS 28.8 ▼ -3.7 Avride PodUS 28.0 ▼ -4.4 WayveGB 27.5 ▼ -0.3 MOIA AmericaDE 25.8 ▼ -1.2 VerneHR 23.5 ▲ +1.3 AutobrainsIL 21.8 ▲ +0.1 Stack AVUS 21.4 ▲ +4.5 NuroUS 19.7 ▲ +1.0 Tensor AutoUS 19.5 ▲ +10.2 Helm.aiUS 18.1 – 0.0 PlusAIUS 17.1 ▼ -1.2 HUMAINSA 2.1 – 0.0
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DeepMap HD Map - The Road to Autonomy

Privacy-First Approach to Mapping

James Wu, CEO & Co-Founder of DeepMap joins Grayson Brulte on The Road to Autonomy podcast to discuss mega-trends, high-precision maps, and DeepMap’s privacy-first approach to HD Maps.

In this episode, Grayson and James discuss HD mapping and how HD maps are enabling all SAE Levels of autonomy. The conversation starts with James discussing why he founded DeepMap with Mark Wheeler in 2016 and the opportunity they saw in the market to increase HD map efficiency.

The self-driving car problem is really hard. Hardest of all is driving without a map. It is an unsolved problem today.

James Wu, CEO & Co-Founder, DeepMap

Without a highly accurate map that updates in real-time, self-driving cars do not have a prior understanding of the environment. Self-driving cars use HD maps to increase efficiency and safety.

A 2019 Harvard Business School Case Study on DeepMap detailed the following:

Self-driving is not just a technology challenge. It’s also an economic challenge, an infrastructure challenge, a public safety challenge, and a marketing challenge.  

This challenge is shared amongst every organization working on self-driving technology. DeepMap is betting big on the trend towards a self-driving future. We firmly believe mapping is critical for increased safety and reliability, at an affordable cost.

James Wu, CEO & Co-Founder, DeepMap as featured in the Harvard Business School Case Study: DeepMap: Charting the Road Ahead For Autonomous Vehicles (2019)

It is not just Harvard Business School that is taking notice, Wall Street is also paying attention. Goldman Sachs invested in DeepMap as part of its Series B round in 2019. James speaks about what it is like to have Goldman Sachs as an investor.

[Goldman Sachs] is able to offer us a broader of the global market for autonomy. They also provide support for strategic partners.

James Wu, CEO & Co-Founder, DeepMap

The investment in DeepMap was not Goldman Sachs’ first investment in autonomy. In 2007, Goldman invested $100 million in Mobileye. Mobileye was later acquired by Intel for $15.3 billion in 2017.

DeepMap’s mapping service provides a solution for all levels of autonomy.

We must get L2 + right if we are going to reach Level 4 or 5.

James Wu, CEO & Co-Founder, DeepMap

HD Maps enhance the safety and reliability of Level 2 autonomy for drivers around the world. The conversation then naturally evolves into how to create an HD map and how the map updates in real-time.

Bringing the conversation back to the business of mapping, Grayson asks James why he made the decision to focus on privacy by allowing DeepMap’s customers to own the data generated by DeepMap’s HD mapping service.

Closing out the conversation, Grayson asks James what the future holds for DeepMap.

The future is bright. The future is autonomous. The future is The Road to Autonomy.

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