Thanks, Sumit. Based on the continued interest from the OEMs, it is clear that the automotive LiDAR market is a very attractive space. We're confident that MicroVision will play a critical role with OEMs, and that we have a sound business model. Today, I'm going to be spending time focusing on 2 key topics. Topic number one, our business model and the resulting financial profile. Topic number two, our 2021 financial results and 2022 outlook. Let's start with topic number one, our business model and the resulting financial profile. My goal here is to help our investors model MicroVision and build the framework of our financial profile once the company signs up a few agreements. Let's start with Slide 5. The chart on Slide 5 represents the number of projected cars to be manufactured between now and 2030 that will include L2+ and L3 capabilities. If we assume that L2+ vehicles will require at least 1 LiDAR sensor and L3 vehicles to have at least 2, using this assumption and an average ASP or average selling price of $800, which was the median of ASP estimates obtained after polling several industry experts, we estimate that the cumulative revenue opportunity for LiDAR sensors through 2030 is $80 billion. Let's turn to Slide 6. This slide summarizes our cumulative revenue could be between $2 billion to $4 billion through 2030, with a corresponding cumulative EBITDA profile of $1 billion to $2 billion once we're able to secure the partnership with the OEMs for our sensor units, to be included in their fleets. Both these numbers are potentially conservative and arrived at by assuming the ASP to be 500 instead of 800 for every LiDAR sensor unit for these estimates. We estimate that the market share of MicroVision can start from 15% and gradually rise to 40% depending on the adoption by the number of OEMs. As I mentioned earlier, the end customers for MicroVision will be Tier 1s, which, in turn, will be supplying these sensor units to the OEMs. The revenue from Tier 1s attributable to MicroVision will primarily come from 2 revenue streams: number one, hardware; number two, software. Now let's discuss the stream number one hardware revenue. The hardware revenue stream starts once the directed by agreement has been secured with an OEM and a manufacturing partnership has been established between the OEM and Tier 1. This revenue stream can be modeled as a gross profit sharing arrangement with the Tier 1s and MicroVision. On an ASP of $500, we believe that the gross profits will be in the 10% to 15% range for Tier 1s, gradually tapering off to 2030 as the hardware becomes more and more commercialized after mass production. We believe that MicroVision could be expected to share 50% of these gross profits with the Tier 1 as revenue. This revenue stream is expected to grow with the number of LiDAR units being produced and delivered by the Tier 1s to the OEMs. The tapering of gross profit is very typical to any hardware product in its life cycle. Based on these parameters, we believe that the hardware revenue stream can be estimated to contribute approximately 1/4 of the total consolidated cumulative revenue of $2 billion to $4 billion through 2030. Let's talk about stream number two, the software revenue. The revenue model for this stream can be expected to be a fixed fee for every LiDAR unit delivered by the Tier 1 to the OEMs for the proprietary software on MicroVision's custom ASIC. We expect to be able to command 15% to 25% of the ASP, 500 as this example, as this is the software engine that controls the hardware and associated sensor fusion with radar to build the world model for the OEM. The software revenue stream will be expected to contribute the remaining 3/4 of the total revenue. Unlike the hardware stream where gross profit would be expected to taper off with the increased adoption of LiDAR technology, software revenue per unit typically tends to remain consistent over time. To summarize, using these parameters, we estimate that the cumulative revenue could be potentially between $2 billion to $4 billion. We believe that these estimates have 2 big potential upsides. Number one, the average ASP can be potentially higher than 500. And number two, if we add to this SAM, the LiDAR sensors that is just needed for L2 vehicles on top of the L2+ and L3 vehicles, the market size increases considerably over $80 billion. Let's talk about cost now. We believe that the largest cost for MicroVision to deliver the revenue is expected to be headcount as the business is expected to scale driven by the number of OEM partnerships as no associated production costs and related risks are expected to be assumed by MicroVision. The number of partnerships with OEMs is expected to be the most important driver in scaling of the engineering resources. In addition, there may be some increases required in sales and marketing efforts as the company scales this business. As a result of this, the EBITDA profile of the company is expected to quite resemble that of a typical software company. With these general guidelines and assumptions, we estimated the corresponding EBITDA to be $1 billion to $2 billion. These are illustrative figures should help you to quantify what success may look like for MicroVision through 2030. Please note that while these are not forecasts, I hope these assumptions help you understand why we are really excited about the future. We are truly transforming MicroVision's core technology to make the most prolific and advanced LiDAR solution out there in the market. Now let's move on to Slide 7 and 8 and recap the following 3 very significant ways that we believe our LiDAR sensor hardware and perception software outperforms the competition. Number one, the build in cost advantages. Number two, the highway pilot capabilities with dynamic view LiDAR product at low latency and high resolution at range. And lastly, the proprietary software on custom ASIC powered by edge computing that provides free space clusters versus obstacles. Moving on to Slides 9 and 10 that just gave you a peek into how we're investing in the growth of our company and positioning the business as we scale the efforts with OEMs and Tier 1s. Slide 9 shows the LiDAR test vehicle, which will be fitted with our LiDAR technology. Our team working to complete the track testing in Q2 2022 in both the U.S. and Germany. Slide 10 shows our investment in top-of-the-line R&D infrastructure and labs with the latest automation and reliability testing capabilities. Now let's discuss the second topic I mentioned earlier that I wanted to cover: 2021 financial highlights and 2022 outlook. Let's walk through Slide 12. We finished the year with $2.5 million of royalty revenue from Microsoft. As a reminder, this revenue is attributable to the contract executed in April 2017 with Microsoft for using our technology in their AR display product. No cash was received for this revenue in 2021 as we received an upfront payment of $10 million at the contract signing. As of December 31, 2021, we had applied $4.7 million against the contract liability. During the year ended December 31, 2021, we applied $2.5 million against the contract liability with this customer. For the revenue outlook for 2020, we anticipate that there will be another $2.5 million revenue to be recognized this year as the remaining Microsoft contract liability winds down. In addition, we also plan to sell some LiDAR sensor units for strategic sales to OEMs and Tier 1s during the second half of this year. At the moment, we do not expect significant revenue from the direct sale of these LiDAR sensors. R&D expenses totaled $24.1 million compared to $9.8 million last year. The increase was primarily driven by the higher noncash stock-based compensation. There was $6.1 million in 2021 compared to $0.7 million in 2020. Backing out the stock-based compensation, the R&D expense on a cash basis was $18 million in 2021. This cash R&D spend was primarily due to our investment in adding more engineering resources to ramp up our effort with the OEMs and Tier 1s and the cost of direct materials to support the development of our products. For the 2022 outlook on the R&D expense, we expect R&D on a cash basis to be slightly higher than $18 million in 2021. An increase in cash R&D this year will be driven by already implemented inflation-based increases to the payroll of our nonexecutive employees across the board in the U.S. to compete with the local labor markets. Additionally, we also plan to add engineering resources as necessary to ramp up our efforts with OEMs. We expect that there may be new stock-based awards to incentivize employees following the company's policies. An important component as we invest in our talent pipeline and motivate our employees to share the upside in the growth of the company. SG&A expense totaled $22.3 million for 2021 as compared to $5.9 million last year. The increase was primarily due to higher noncash stock-based compensation expense. It was $9.2 million as compared to $0.6 million in 2020. Another reason for higher SG&A was increased investment in professional and consulting firms to accelerate our business development efforts and higher business insurance costs. For the fourth quarter of 2021, SG&A expense was $6.5 million. During this quarter, we also invested over $2.5 million in engaging professional firms, consulting firms and other executive activities to ramp up efforts to promote and expand our business development and marketing efforts. Additionally, after backing out the stock-based compensation of $1.6 million from the Q4 SG&A, cash SG&A for the quarter was $2.5 million, that translates into $10 million to $11 million for full year 2022. In addition to the above for SG&A, we will be investing our cash in several growth initiatives as discussed, including investments in business development in both the U.S. and Germany. Cash used in operating activities for the year 2021 was $29.4 million and cash used for additions to PP&E, i.e., CapEx was $2.5 million. Higher CapEx in 2021 was mainly driven by the increased R&D activities for the LiDAR product development and investments to upgrade our IT and R&D infrastructure as the headcount almost doubled in H2 2021. We expect CapEx requirements to be lower in 2022 as compared to 2021. As a company, we have always sought to be very disciplined about using our cash to execute our strategic objectives. Based on the 2022 outlook that I just described for cash burn and our current liquidity, I feel this positions us well compared to our peers whose burn rate is 3 to 4x than ours. Now let me give you an update on our ATM facility. The company remains very strategic and focused on the shareholder value creation. In 2021, the ATM program was mainly used in the first half of 2021 when the company raised $68 million of net proceeds issuing 4 million shares, taking advantage of the strong equity markets back then and strengthening the balance sheet. During the second half of 2021, there were no sales of shares that were executed under the ATM program as the broader LiDAR equity markets, including most of our peers experienced overall weakness in the stock prices. We finished the year with cash and cash equivalents of $115 million, including investment securities that gives us a strong liquidity position. Given our current liquidity levels, we believe that we are well positioned to invest in some of the growth initiatives that Sumit and I have talked about. Let me summarize the themes from this update call for all our investors in 3 key points. Number one, we're confident in our technology and looking forward to seeing it in the highway test track settings targeted in the next quarter. Number two, we're excited about the business model that we're working towards, the strategic partnerships that we are looking to execute that could help us build a $1 billion to $2 billion cumulative EBITDA business through 2030 in the future with a high growth profile. And lastly, number three, our current liquidity position and 2022 cash burn outlook positions us well with respect to our peers. With this, I would like to open the line for questions.