VCSEL Technology for Next Generation 3D Sensing Applications — Part 1

By Sabbir Rangwala

A view from the US space shuttle Endeavour shows the right solar array deployed, 03 December 2000, from the newly installed P-6 truss assembly (L) on the International Space Station. Space walkers US Carlos Noriega and US Joe Tanner installed truss.

Space solar cells are evolving to address next generation deployments that require higher levels of performance, reliability, manufacturing scalability and cost. Prior generations used 4” and 6” Ge wafers to fabricate these solar cells. Increasingly, the focus is on using larger diameter substrates. Materials companies like Umicore have developed 8” Germanium wafers that have been evaluated for performance, purity and manufacturing scalability. The results are promising and highlight the time-honored maxim of the semiconductor industry — continue increasing wafer size as new applications emerge. Similar to solar cells, VCSELs are entering a phase where emerging applications are likely to challenge the current manufacturing platforms that rely on 6” GaAs substrates.

Apple’s deployment of a VCSEL (Vertical Cavity Surface Emitting Laser) based, world facing LiDAR on the iPad and iPhone platforms has significant impact on other applications like automotive LiDAR. There is a fundamental difference between consumer and automotive LiDAR applications. Smart phones typically do not demand high range, Field of View (FoV) or points per second (PPS), whereas automotive applications are geared toward safety and require significantly higher levels of performance and reliability. Consequently, VCSEL arrays in consumer applications tend to be smaller (1–2 mm²), whereas VCSEL based automotive LiDAR uses ~10X larger VCSEL sizes (10–30 mm²).

VCSELs were originally developed in the early part of this century for data communication and industrial sensing applications. They offered a lower cost alternative to edge emitting lasers (EELs) which are more expensive to fabricate at a semiconductor and packaging level. For the wavelengths used (typically 8XX-9XX nm), GaAs was the appropriate choice of semiconductor materials. The volumes were low and the size of the VCSEL die was <1 mm² per product, so 4” wafers were perfectly adequate.

As high volume consumer applications like smart phones using VCSEL arrays proliferated in the 2018 timeframe, higher volumes and the larger areas of semiconductors used drove a transition to larger wafer sizes (6” GaAs wafers). This was driven by capacity and cost constraints (generally, semiconductor processing costs do not increase dramatically with wafer size, enabling lower per unit costs as wafer size increases). 4” substrates provided ~4000 VCSELs per wafer, not enough to supply the millions of smart phones produced every year. 6” wafers yield about 10,000 VCSEL arrays/wafer. Moving to larger wafers is not trivial however. Re-tooling of semiconductor equipment is necessary (capital investment), higher wafer breakage costs could result (larger GaAs wafers are brittle and tend to break more easily with handling and processing stresses), and semiconductor processing has to be re-optimized (to guarantee good device quality across larger diameter wafers). After a significant amount of effort, this seems to have been accomplished by multiple suppliers like Lumentum, II-VI and others who have successfully designed in their GaAs VCSEL arrays into the current generation of smart phones.

The investments required by the supply chain to transition to a new material system and larger substrates can only be justified if:

It is a chicken-and-egg problem — while the supply chain waits for assurance that customers will buy or fund the development, the customer base looks for proof to convince them of the benefits. Part 1 (this article) discusses the market aspect. Part 2 will discuss how the the supply chain is responding to these market demands.

Markets and Applications

From a demand and market perspective, automotive LiDAR, Augmented/Virtual Reality (AR/VR), and emerging smart glass applications are the prime drivers for a transition to larger semiconductor substrates in alternate material systems.

Ibeo, based in Hamburg, Germany, is one of the pioneers in LiDAR for automotive applications. The company was started in 1998, long before LiDAR became fashionable, exciting and sexy. It pioneered LiDAR applications to autonomous driving by participating in the 2007 DARPA Grand Challenge. Ibeo technology was also used in the Scala LiDAR product (owned by Valeo, a France based automotive Tier 1 supplier), a 4-beam, mechanically scanned system. Valeo successfully qualified this design in 2018, and is integrating it into L2 (Level 2) and L3 (Level 3) automation features in cars. IbeoNEXT is the next generation product (see Figure 2) — a solid state electronically scanned system that deploys 2D arrays of VCSELs and SPADs (Single Photon Avalanche Photodiodes).

Figure 2: IbeoNext LiDAR (Left), VCSEL and SPAD Array (Right)

ZF Friedrichshafen AG is an investor in Ibeo as well as a Tier 1 industrialization partner. The VCSELs are procured from AMS Technologies . The solid state construction is attractive from a reliability perspective, and the higher number of VCSEL emitters in the ~30 mm² array (~10,000) allows for higher resolution and range. IbeoNext has secured a design win into the upcoming models of Great Wall Motors, a leading Chinese automotive OEM. The large VCSEL area currently makes it one of the more expensive components in the LiDAR. Achieving lower price points (according to Ibeo, the future price target is $100 in quantities of a million units/year), will require VCSEL costs to reduce dramatically (by a factor of 5–10X). One way to do this is to increase the VCSEL power density (although this is constrained by eye-safety limits at the 8XX-9XX nm wavelengths the VCSELs operate at, as well as the ability to thermally manage the heat and prevent overheating). The other option is to move towards larger area substrates.

Michael Kiehn, Vice President of Advanced Engineering indicates that apart from the dramatically lower costs, other desirable features of next generation VCSELs include:

Ouster recently acquired Sense Photonics as part of its strategy to penetrate the automotive market with a solid state, flash LiDAR solution. Although both Ouster and Sense use VCSELs and SPADs, Sense is unique in that it is probably the only company capable of pure flash operation (similar to CMOS cameras) with no scanning (a global shutter solution where all pixels acquire data at the same time) and designed for long range performance.

According to Aravind Ratnam, (Head, Automotive Products), the flash LiDAR solution images to 200 m on 10% objects with 0.025° angular resolution. The LiDAR can be modified to work at shorter ranges with an expanded FoV by using alternative optics. Looking ahead, the VCSEL needs to evolve in terms of wavelength vs temperature drift, higher power density and cost. Increasing yields on the current 6” VCSEL manufacturing is one tool to achieve this. The other is to move to larger wafer diameters and different substrate material systems as long as they are demonstrated to have equal or better performance, yield and costs as the current approaches.

Opsys, based in Israel and California, focuses on VCSEL-based, solid state automotive scanning LiDAR. The company has been successful in design wins with major Chinese automotive OEM and Tier 1 customers, and has agreements in place with a major Korean automotive Tier 1 supplier. The base unit (expected production launch date is 2022) uses a total of 6,500 VCSEL apertures (~30 mm² chip size) to illuminate a ~14,000 pixel SPAD array, and is designed for long range, high resolution and high frame rates, while operating well below the FDA eye safety limit. Each unit uses low energy laser pulses at high pulse rates to achieve this performance. Modular construction for addressing varying customer requirements is enabled by combining multiple base units operating at different wavelengths (905 and 940 nm to prevent cross talk and enable high laser pulse rates).

Figure 3 shows raw point cloud data (front and top views) created with 8 units to image a 220°x13° FoV for a particular automotive OEM customer. The center 45°x13° region uses four units providing a 0.1°x 0.1° angular resolution, and images to a 200 m range. Two units on each side cover a 90°x13° FoV with 0.2°x 0.2° angular resolution.

Figure 3: Point Cloud Data at 200 m Range (10% reflectivity, 100 kLux ambient light), Center 45°x13° Region

Per Eitan Gertel, Executive Chairman and founder of Opsys, a proprietary silicon driver ASIC will enable a fully addressable VCSEL and ROI imaging. This will lead to efficiencies in power management, data processing speeds, lower latency, high resolution, higher range and excellent POD performance. In terms of VCSEL needs going forward, the ability to do ROI imaging and a factor of 3X reduction in costs are critical. Moving to larger VCSEL substrate diameters is one path to achieving the cost targets.

pmdtechnologies AG, based in Siegen, Germany is a leading supplier of short range LiDAR into consumer devices and augmented reality applications. It uses a VCSEL array as part of the LiDAR along with a specially designed VGA format infrared CMOS imager. lnfineon and pmdtechnologies collaborated to release the first generation of the REAL3™ image sensor in 2015 (currently at its sixth generation of productization). Applications (see Figure 4) include consumer mobile and AR/VR (room scanning, gesture control, bokeh effects and fast autofocus), industrial (automation, surveillance and robotics) and automotive (in-cabin passenger alertness monitoring, as well as road-facing).

Figure 4: Industrial, Augmented Reality and Consumer Applications for VCSEL based ToF LiDAR-PMD Technologies

In 2016, REAL3™ was designed into Google’s GOOG +0.6% Project Tango smart-phone. Other smart-phone design-ins have continued with LG, Huawei and Sharp. The consumer market essentially demands a new generation of product every year and this is no different for the imaging technologies incorporated within smart phones and AR headsets. CEO Bernd Buxbaum is passionate about the need for high quality 3D imaging in order to improve the quality of the augmented reality (AR) experience, as well as support safety applications like driver monitoring for automotive. His wishlist for future VCSEL developments include:

AR and other applications built into smart glasses are also a new emerging application, driving diverse applications from gaming, education and training, remote expert support and manufacturing operations. Mercedes and Microsoft are working on HoloLens smart glasses to equip dealerships with the ability to perform complex repairs using remote support — saving on time and money. LG Innotek (based in Korea) is supplying the current VCSEL based LiDAR modules for the Apple iPod and iPhone, and is reportedly preparing to supply such modules to Apple and Microsoft for VR/AR smart glasses. Vuzix (VUZI), a Rochester, New York based smart glass manufacturer believes that embedding LiDAR into smart glasses will drive significant applications ranging from medicine, construction and oil exploration to law enforcement and remote expert assistance. VCSEL based LiDARs are best suited for integration into these platforms (similar to smart phones), and will need to be power efficient and low cost in order to scale these applications.

Exciting applications await VCSEL-based LiDAR. Customers are clear about how they need VCSELs to improve in terms of cost, capacity, performance and features going forward. Part 2 of this article will explore how the supply chain is responding to these challenges.

Sabbir Rangwala, is the Chairman of Advisory Board at AutoM8 (A Fountech Ventures portfolio company). In the past he has led the automotive LIDAR business at Princeton Lightwave until 2017. Currently the Founder at Patience Consulting, the company provides expertise on AVs, perception and LiDAR. Patiently!



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