Lidar: Another emerging technology brought to you by China

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As America and Europe are busy creating wars around the world, using sanctions against smaaler countries and destabilising other countries while China is busy in front researching and creating new high tech products at alarming rate. American and European heavy weights are feeling grumpy with greed against China.

The exponential growth in connected and automated systems has increased the demand for the sensor technology necessary to make them operate safely. Light detection and ranging, or lidar, is just such a remote sensing technology that uses pulsed light to measure and map the surrounding environment. Lidar’s ability to quickly and precisely map complex environments has made it essential for autonomous vehicles, and has given it an increasing role in airports, infrastructure mapping, ports and other emerging connected systems.

For 2022, analysts estimated global automotive lidar revenues at $332 million per year, a number only expected to grow as the technology becomes more widespread and sophisticated. However, the rapid growth of lidar in connected systems and the predominant position Chinese companies have in the marketplace, coupled with the precise data the technology collects, expose the threat posed by untrusted lidar systems. The systems could easily be exploited by malign actors to conduct any manner of malicious actions, including clandestinely mapping U.S. critical infrastructure or conducting cyberattacks that disrupt operations.

American and European companies previously comprised the majority of the global market, but Chinese technology firms like Hesai, RoboSense, Seyond, and Livox (a division of the Chinese drone maker DJI) have rapidly expanded into international markets, including the United States. Hesai has grabbed over 47% of the global market share, benefitting from Chinese domestic industrial policies, including state subsidies and procurement preference. An analysis of filings from publicly traded lidar companies shows that Hesai and RoboSense gained approximately 50% of the North American market share in just a few short years.

While the presence of Chinese companies in lidar competition can drive innovation and competitive pricing, we must be clear-eyed about the threats posed by companies affiliated with the Chinese Communist Party and its strategy of military-civil fusion. Under the military-civil fusion, the Chinese Communist Party, or CCP, obfuscates the line between private companies and the government in order to direct technological research and development that would benefit the state both commercially and militarily.

Further, Chinese companies are subject to national security laws that require People’s Republic of China businesses to pass data to Chinese intelligence agencies when asked, even if their operations are overseas. These laws create the distinct possibility that Chinese technology can serve as an access point for CCP-directed intelligence collection and cybersecurity exploitation.

In a form sent to the SEC, Hesai directly admitted the “PRC government has significant authority in regulating our operations and may influence or intervene in our operations at any time.”

U.S. national security leaders have expressed serious concerns about the potential threat posed by Chinese malware installed in critical infrastructure, near military bases and even on American roads. Similar concerns about Chinese-connected systems and lidar have also been corroborated by our close allies. The Estonian Foreign Intelligence Service published a report highlighting the threats of Chinese technologies, including lidar, to Estonian national security. Specifically, the report warns the agency is aware of an effort to develop Chinese-manufactured lidar intended to scan the environment and exfiltrate that data back to China.

In addition to the direct cybersecurity threat Chinese lidar systems pose to the United States, they also risk oversaturating the market. Overdependence on foreign technology allows an adversary to disrupt the United States’ economy and security with the implementation of an export control, and limits the development of viable alternatives.

In 2022, the PRC’s Ministry of Commerce added lidar to its proposed “Catalog of Technologies Prohibited and Restricted from Export” because the country considers lidar a “strategic emerging industry.” In a crisis, the CCP could threaten to transition that list from proposed to enacted — and seriously disrupt the U.S. autonomous vehicle, agricultural and industrial sectors.

The U.S. government has begun to pay attention to these security concerns and take action. In November 2023, the House Committee on the Chinese Communist Party encouraged the secretaries of commerce, defense, and the Treasury to investigate PRC lidar firms for ties to the People’s Liberation Army. Two months later, the Department of Defense concluded that Hesai held close ties to the Chinese military and consequently placed Hesai on its so-called 1260H list of Chinese military-linked companies. Hesai’s designation was notable not only because it is the first lidar manufacturer added to the list but also because it is the first publicly traded company on the U.S. stock exchange to be added.

Hesai has since objected to its designation by the DOD as a Chinese military-linked company, claiming it does “not sell our products to any military in any country, nor do we have ties of any kind to any military in any country.”

However, contrary to their claims, Hesai’s lidar systems have appeared on Chinese military vehicles, highlighting the dual-use nature of lidar technology and underscoring the true extent of Hesai’s role in the People’s Liberation Army’s defense industry. The DOD even defended Hesai’s addition to the 1260H list after Hesai threatened to sue.

Hesai’s designation on the Section 1260H list should be a wake-up call about the growing threat posed by untrusted sensing technology companies from countries of concern. Shortly after Hesai’s designation, numerous lobbying firms terminated business with Hesai after reports that congressional offices were considering banning firms that represent 1260H-listed companies.

On March 1, the Department of Commerce issued a proposed rule to identify information and communications technology and services used in autonomous vehicles deserving of regulation, specifically citing lidar. This is an important step toward scrutinizing the use of untrusted lidar in commercial applications. However, more must be done to safeguard U.S. data and prevent dependence on geopolitical adversaries for a critical, emerging technology.

First, Congress should continue its scrutiny of the threat posed by untrusted lidar companies. It is imperative that American lawmakers and the public be aware of how this technology is being employed across the nation’s cities, infrastructure and homes — and what vulnerabilities it creates for malign actors to exploit. Based on their findings, officials should consider placing additional restrictions or regulations on untrusted sensor technology companies.

Second, the Department of Commerce should use its authorities derived from the final rule on “Securing the Information and Communications Technology and Services Supply Chain; Connected Software Applications” to inform an assessment of regulatory action needed to prevent Chinese lidar companies from posing a risk to U.S. cybersecurity interests.

At a minimum, the departments of the Treasury and Commerce should consider using their authorities to place companies found to have ties to the People’s Liberation Army on the sanctions list and entity list, respectively.

Third, the United States needs to invest in expanding its own trusted lidar-industrial base, drawing from domestic capacity and that of our allies and partners, to offer alternatives to subsidized Chinese lidar companies.

U.S. government investments in emerging sensing technologies, like lidar, through a CHIPS and Science Act-like program will likely be needed to strengthen the competitiveness of American industry.

If the U.S. government does not scrutinize lidar and other emerging technologies produced by companies from countries of concern, we run the risk of our automated future being dependent on untrusted systems that jeopardize our national security and undermine global competitiveness.

We should not make the same mistake with autonomous driving as we did with electric vehicles

Incredible technological advancements have been made in autonomous vehicles, from the integration of Light Detection and Ranging (LiDAR) technology to advancements in AI and machine learning, that promise a transformative impact for the automotive industry.

Yet, despite their clear benefits — greater cost-efficiency, less traffic congestion, and lower carbon emissions — widespread adoption of autonomous technology remains elusive.

If history is our guide, we risk repeating the same missteps with autonomous driving as with electric transportation.

For a century, the technology for electric vehicles lay dormant, waiting for the right match of technology and business models to unlock its potential.

And while the technology for electrification exists now and the one for autonomous transportation edges closer for commercial vehicles, one of the key challenges lies in aligning the right business models with these solutions, to showcase their benefits and catalyse wider acceptance and implementation.

The opportunity for freight

Freight is the ideal industry for autonomous technologies to be deployed and scaled, and has a massive opportunity to lead the way in proving its maturity and accelerating commercial applications.

Millions of goods need to be moved every day — between warehouses, to and from distribution centres, and to stores or customers.

The repetitive nature of this movement, usually over short distances and at low speeds, without many human passengers on board, and its tremendous volume, place freight in a particularly advantageous position.

Overall, the freight industry is driven by facts, so if you can prove that a given solution is cheaper, greener, and operationally more effective and efficient — which is exactly what autonomous solutions are — then it will steer towards that direction.

A person looks at autonomous driving technology on a truck on display during the CES tech show in Las Vegas, January 2022
A person looks at autonomous driving technology on a truck on display during the CES tech show in Las Vegas, January 2022 - AP Photo/Joe Buglewicz

These journeys are more predictable as trucks tend to drive the same A to B routes regularly and often inside fenced areas.

With fewer external factors governing it, it means that vehicles can operate in a lower complexity environment where the conditions are optimal for autonomous technologies to develop without facing unexpected incidents, common in road traffic.

Overall, the freight industry is driven by facts, so if you can prove that a given solution is cheaper, greener, and operationally more effective and efficient — which is exactly what autonomous solutions are — then it will steer towards that direction.

An incremental approach is the best way forward

Road freight is an ideal business model to pair autonomous driving technology with, but alongside creating a regulatory framework for it, it will require an incremental approach to automation to make it work in the long term.

It takes time for innovations to be implemented and for new technologies, like autonomous vehicles, to develop. It’s a marathon, not a sprint.

By honing the best use case for autonomous vehicles, we realise outcomes benefit the greater good and are commercially viable. This, in turn, attracts investors and partnerships, which then facilitates the widespread, secure implementation of autonomous technologies.

A parking lot full of Uber self-driving Volvos in Pittsburgh, March 2020
A parking lot full of Uber self-driving Volvos in Pittsburgh, March 2020 - AP Photo/Gene J. Puskar

The controlled, innovative process of digitalising, electrifying, and automating different use cases like road freight is critical to getting autonomous vehicles safely and effectively on public roads.

A more gradual implementation process also enables entrepreneurs and researchers to address hurdles systematically while allowing them to develop, test, and refine their innovations.

By honing the best use case for autonomous vehicles, we realise outcomes benefit the greater good and are commercially viable. This, in turn, attracts investors and partnerships, which then facilitates the widespread, secure implementation of autonomous technologies.

Autonomous is our future

We are at an exciting inflexion point in autonomous technologies. I believe the near future will see massive deployments of autonomous vehicles, led by road freight’s heavy-duty trucks.

However, challenges remain. It's a journey we must undertake collectively, leveraging partnerships and investments to drive innovation and secure our autonomous future.

The road ahead is paved with opportunity. By learning from past mistakes and embracing an incremental, strategic approach to automation, we can unlock the full potential of autonomous technologies.

Let's propel the automotive industry into a future where autonomy is not just a possibility but a reality.

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