附近上门

Artificial intelligence (AI) will beat you at chess and, eventually, make your driver鈥榮 license superfluous. Big-name companies in the U.S. have realized AI鈥檚 ability to power autonomous vehicles (AVs) and are competing to get cars that don鈥檛 need your input to public riders first.

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About a decade ago, Google its self-driving car program, which later Waymo. Its parent, Alphabet, the self-driving company. Meanwhile, Google鈥檚 challengers emerged one after another. Ford in Argo AI last February, and GM the self-driving car startup Cruise Automation for $600 million the following month.

Major ride-hailing players are also bashing against each other in the AV space. Uber Otto last August, and it its self-driving unit under various and . Though arriving a little later to the game, Lyft has with GM, Waymo, and nuTonomy. The second-place ride-sharing startup also a self-driving division in July.

To add a little bit more hype to the AV competition, Tesla recently to work on self-driving and electric semi-trucks.

has already been spilled on tech companies and carmakers competing in the self-driving car space, yet little has been spent on AV sensor technology startups. Using our human intelligence, we decided to map notable investment trends in this niche market from 2009 and onward.

Sensor Technology 101

Sensors and sensor tech are necessary for AVs鈥� safe and accurate navigation on urban roads. Currently, there are three kinds in development:

1. LIDAR. The bulky dome on top of self-driving cars you鈥檝e probably noticed is LIDAR, which Light Detection and Ranging. By shooting laser lights and measuring the time it takes for the lights to return, LIDAR sensors a 3D map of their surroundings. The map not only powers navigation but also distinguishes between obstacles like other cars, pedestrians and traffic lights.
2. Radar. Radar sensors work in a similar manner to LIDAR, but this type of sensor radio instead of light waves. Radar can also track objects by . But it cannot provide the 3D view created by LIDAR.
3. Camera sensors. Radar鈥檚 limitation gives us camera sensors. Cameras can color and texture in high-level details, and it is a sensor often used to supplement radar and LIDAR systems.

Most self-driving vehicle companies default to LIDARs since they detailed mappings, especially under low light or glare. Tesla (being Tesla) has the coupling of radar and camera sensors, even though radar-powered software a Tesla driver last July.

The Sensor Tech Market

To understand the sensor tech market in the U.S., we charted the total amount of venture capital money that went into AV sensor technology startups. The amount of capital raised each year is separated by round types:

Money began to flood into sensor technology startups in 2016, the year when AVs.鈥� More for self-driving cars arrived in 2017, which explains increasing investment. Companies that received early-stage funding prior to 2016 entered later stages after 2016. And every year since 2015, more Seed and Series A funding is flowing into sensor tech startups.

From the graph above, you鈥檝e probably noticed that AV sensor technology did not gain much traction until recently. Therefore, it is appropriate to ask 鈥渨hy would there be specialized sensor technology startups in the first place?鈥� Based on how tech startups have operated historically, there are two potential answers:

1. Vertical integration in a new field is difficult. While Tesla a vertically integrated sustainable energy company, its self-driving division software from Mobileye until last year. While there are rare cases of companies like Waymo that both hardware and software, most traditional automakers and software companies look for . So it鈥檚 not surprising that smaller, more nimble companies are leading the field when it comes to creating niche sensors for AVs.
2. Startups often start small by focusing on something they are really good at and later expand offerings. The most famous companies in tech are often such tales. Amazon, now known for its cloud computing service and forays into digital media, was once a mere bookseller. Apple sold computers to enthusiasts before it led the smartphone innovation, sold cloud services, and wrapped an arm around the music industry. Turning to the more modern, Box, the enterprise-facing productivity company, once focused purely on cloud storage, has since expanded its ambitions to help power third-party apps and selling security tools.

Developing self-driving cars is a complex and multi-part process. Even if corporations have enough capital and resources, taking on the AV world alone just doesn鈥檛 make sense.

Breaking Down Sensor Tech Startups

On , we noticed AV sensor technology startups in the U.S. are quite diverse in terms of focus fields, from LIDAR sensors to AV-specific deep-learning algorithms.

To see how much funding is going into each type of product and service, we charted the market鈥檚 current distribution below:

As the chart shows, from 2009 to 2017, most capital has gone into LIDAR companies. and being the top two players in the LIDAR space. This January, Quanergy, having raised $135 million over the last four years, that its first affordable LIDAR sensor (costing each) will go into full production. Velodyne received from Baidu and Ford in 2016. The Californian company鈥檚 technology on public roads in China (thanks to Baidu).

Software companies receive the second largest funding on the pie chart, since AVs on AI and computer vision software. One of the more notable software startups, , managed to $16 million of Series A, the world鈥檚 first self-driving taxi service, and Grab, Lyft, and Groupe PSA all within three years.

Startups that work on camera or radar sensors only receive half of the investments that go into LIDAR companies. In accounting for the discrepancy, it鈥檚 likely most investors still that LIDAR is the premium option in terms of function. Furthermore, camera and radar sensors are than LIDARs. By selling these lower-cost alternatives, teams such as and want to democratize AVs.

Looking Forward

Before AVs become available to the mass market, companies need to resolve functionality and cost problems in sensor technology. Whereas LIDARs are and , camera and radar sensors , especially after Tesla鈥檚 autopilot car crash.

Some people may deem sensor tech startups as tangents, since major self-driving car players often overshadow these gadget manufacturers in the news. However, investment trends indicate that we need to follow sensor tech closely鈥攅specially if you want to sit in a truly driverless car anytime soon.

Methodology

We define AV sensor technology startups as companies specializing in hardware, software, or both that are necessary for fully autonomous cars. Note that in our charts, we did not include Ford鈥檚 $1 billion investment in Argo AI since the deal has technically .