scale to launch a mapping product to address the changing needs of its autonomous driving customers

The Evolution of Data Solutions for Autonomous Vehicles

Addressing the diverse obstacles encountered in the development of self-driving technology is a remarkably intricate undertaking. However, initiating this process necessitates possessing high-quality data that is both precise and thoroughly annotated. Scale has recognized this crucial need, anticipating the AV industry’s demand for extensive data annotation, particularly in specialized lidar imaging.

Expanding Capabilities into Mapping Technology

According to co-founder and CEO Alex Wang, speaking at TC Sessions: Mobility 2021, the company is now extending its services into the realm of mapping with a new product slated for release later this month. This expansion reflects a natural progression in addressing the evolving needs of its partners.

Addressing Broader Data Management Needs

“Our function has continually adapted,” Wang explained, detailing the company’s collaboration with transportation industry partners, including Toyota. “As we collaborate with our clients and resolve initial challenges related to data and annotation, further issues emerge that we are equipped to tackle, such as data management. We responded by launching Nucleus for this purpose.”

The Importance of Robust Mapping Solutions

Many of their customers are heavily focused on mapping and the deployment of more dependable maps. Consequently, Scale is developing a product to specifically address this challenge. Wang refrained from disclosing specific details but elaborated on the difficulties inherent in mapping and the shortcomings of current maps used in conjunction with AV systems.

Limitations of Existing Mapping Infrastructure

“A significant question for the industry concerns the historical reliance on mapping – specifically, the dependence on very high-quality, high-definition maps,” Wang stated. “However, the reality is that these maps are occasionally inaccurate, and managing this discrepancy presents a challenge. This includes issues of robustness and the need for frequent updates.”

The Challenge of Map Accuracy and Timeliness

He pointed out that even Google Maps, widely considered the leading mapping infrastructure, doesn’t update rapidly enough to reflect changes relevant to human drivers. This highlights the need for more dynamic and responsive mapping solutions.

Leveraging the Data Flywheel for Continuous Improvement

Wang emphasized that the mapping challenge mirrors the core problem Scale has been actively solving throughout its existence: the data flywheel. In autonomous driving, the ability to rapidly and accurately collect and annotate data is paramount. This iterative process leads to improved data collection and annotation, ultimately enhancing the reliability of the system’s environmental assumptions.

Building Confidence in Mapping Accuracy

“Successfully managing the real-time changes in the environment is a major component,” he noted. While the specifics of Scale’s upcoming product remain under wraps, it’s reasonable to anticipate a focus on enhancing confidence in maps and mapping accuracy as a fundamental element of their new offering.

• Scale is expanding its services to include mapping solutions.
• The new product aims to address the challenges of map accuracy and real-time updates.
• The company’s approach leverages its expertise in data collection and annotation.