Latest news with #S32R47
Time of India
16-07-2025
- Automotive
- Time of India
Beyond Vision: Why Radar is the Gamechanger for Autonomous Driving in India
The article is authored by Hitesh Garg, VP and India MD, NXP Semiconductors. India is at a crucial point in its journey toward autonomous mobility with a vision of obtaining full autonomy, which is still on the horizon, but the groundwork is being laid with ADAS becoming more prevalent in mid-range and premium vehicles. A recent report by McKinsey & Company estimates that by 2030, up to 20–30% of new cars sold in India could come with at least Level 2 autonomy , including features like adaptive cruise control and lane-keeping assistance. The government's push through policies like the PLI scheme for automotive and auto components is further creating a fertile ground for this transformation. As the sector evolves, vision-based systems, while powerful face critical limitations in real-world conditions. Enter radar: a technology that is proving indispensable in ensuring safety, precision, and reliability, especially in India's complicated driving environments. Radar in the Real World: Where Vision Falls Short by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like American Investor Warren Buffett Recommends: 5 Books For Turning Your Life Around Blinkist: Warren Buffett's Reading List Undo Unlike cameras and LiDAR, which rely heavily on visual data, radar operates on the principle of electromagnetic wave reflection. This allows it to "see" through dense fog, heavy rainfall, pitch darkness, and even dust, scenarios that are all too common across India's varied geographies. Since India's traffic isn't just chaotic; it's also unpredictable, the traditional vision systems can get overwhelmed by the diversity of movement patterns and low-contrast situations. Therefore, Radar systems, with their capability to detect objects up to several hundred meters away, and their resilience in low-visibility conditions, become important allies in enhancing road safety. The Technology Within: Making Radar Affordable and Scalable Further to this development, a new generation of radar microcontrollers are designed specifically for ADAS applications. One such chip is the S32R47, a 32-bit radar processor built on 16 nm FinFET (Fin Field-Effect Transistors) technology. It integrates high-performance signal processing capabilities with multi-core compute, enabling denser point cloud output and enhanced algorithms that enable next-generation driving automation systems from Level 2+ up to Level 4. What sets this chip apart is its ability to deliver imaging radar performance at scale, , alongside improved system cost and power efficiency. The cost efficiency makes it possible to accelerate the roll-out of 4D imaging Radar across all regionsThe S32R47 supports 4D imaging radar, enabling vehicles to accurately detect, classify and track objects, whether they are small or large, still or moving, that are relevant for the vehicle to make driving decisions, It also creates a detailed, real-time map of the vehicle's surroundings. For standard front and corner radar applications, NXP was first to introduce a radar one-chip SoC (System-on-Chip) built on 28nm RFCMOS technology, the SAF85xx, enabling implementation of NCAP (New Car Assessment Programme) features, including automated emergency braking and blind-spot detection. It is comprised of a highly integrated RF front-end and a multi-core radar processor. By combining standard or imaging radar with vision systems, manufacturers can create sensor fusion architectures that are scalable, cost-effective and reliable. This makes autonomy more accessible, for both mass-market vehicles and high-end models. Challenges and the Road Ahead Implementing radar-based systems comes with its own set of hurdles. One major challenge is spectrum allocation, as automotive radar operates in the 76–81 GHz band and requires interference-free frequency access to function optimally. Policy-level clarity and dedicated spectrum for automotive radar will be critical to ensure consistent performance in urban and highway scenarios. Another barrier is the lack of indigenous manufacturing for key radar components such as antennas, RF front ends, and MMICs. To overcome this, India needs a focused push toward localizing component production through technology transfers, public-private partnerships, and startup incubators focused on automotive semiconductors. Software also presents a complex challenge. Radar systems must be trained on Indian traffic patterns and road behavior, which can differ significantly from global datasets. Tackling this requires creating large-scale, localized radar datasets and simulation environments to fine-tune performance under diverse Indian driving conditions—from congested city roads to high-speed expressways. Encouragingly, progress is already underway. Global OEMs are investing in India-based R&D hubs, local suppliers are ramping up radar module production, and the use of advanced simulation and testing platforms is accelerating product readiness for Indian conditions. Conclusion The road to autonomous driving in India will not be paved with just vision, it will require the invisible clarity that radar provides. As we move toward a future where safety, accessibility, and scalability are paramount, radar technology emerges not just as a complementary component but as a foundational pillar of that vision. To unlock the full potential of autonomy in India, we must go beyond vision, and radar is showing us the way. Discover everything about the automotive world at Times of India .
Yahoo
08-05-2025
- Automotive
- Yahoo
NXP Semiconductors (NasdaqGS:NXPI) Unveils Powerful S32R47 Radar Processors for Autonomous Driving
NXP Semiconductors has recently introduced its S32R47 imaging radar processors, enhancing its standing in the autonomous driving sector. This product release, aligned with broader market gains marked by increased optimism around US-UK trade deals, coincides with a notable 14% rise in the company's stock over the past month. Despite mixed earnings and executive changes, the market's bullish sentiment, particularly in response to easing trade restrictions benefiting tech stocks, seems to have supported this upward movement. The innovations in radar technology likely reinforced investor confidence amidst broader economic developments. We've identified 1 possible red flag for NXP Semiconductors that you should be aware of. The end of cancer? These 23 emerging AI stocks are developing tech that will allow early identification of life changing diseases like cancer and Alzheimer's. The recent introduction of NXP Semiconductors' S32R47 imaging radar processors aligns with broader positive market sentiment, supporting investor optimism. This innovation potentially enhances NXP's positioning in the autonomous driving sector, possibly contributing to future revenue growth by offsetting challenges in global automotive production. In the longer-term context, NXP's total return has been 118% over five years. Despite recent share price movements, which show a 14% rise due to easing trade restrictions and product innovation, the company underperformed both the US Semiconductor industry and broader US market over the past year. Analysts project NXP's revenue and earnings growth to continue, with revenues expected to increase annually by 5.9% over the next three years and earnings projected to reach $3.3 billion by 2028. These forecasts are contingent on market conditions and execution, particularly regarding acquisitions like Kinara, which aim to boost AI edge computing capabilities. Current valuation insights indicate that while the share price is trading at approximately 22% below the consensus price target of $234.07, there is considerable analyst disagreement. This variability reflects uncertainties related to macroeconomic factors and market performance relative to industry peers. Gain insights into NXP Semiconductors' outlook and expected performance with our report on the company's earnings estimates. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include NasdaqGS:NXPI. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
08-05-2025
- Automotive
- Yahoo
NXP Unveils Next-Gen Radar Chip To Boost Autonomous Driving Systems
NXP Semiconductors NV (NASDAQ:NXPI) showcased its new S32R47 imaging radar processors in 16 nm FinFET technology on Thursday. The third generation of imaging radar processors delivers up to twice the processing power of the previous generation. With NXP's mmWave radar transceivers, power management, and in-vehicle networking solutions, the S32R47 family meets functional safety ASIL ISO 26262 ASIL B(D) requirements. Also Read: According to Yole Intelligence's Status of the Radar Industry 2024 report, by 2029, approximately 40% of vehicles entering the road will be passenger cars with driving automation Level 2+(L2+)/ Level 3 (L3), with an increasing number of vehicles with Level 4 (L4). Imaging radar leverages richer point cloud data for more detailed modeling of the environment. This is a key enabler for AI-based perception systems, which allow for assisted and autonomous driving in the most challenging environmental conditions, such as complex urban scenarios. The S32R47 integrates a high-performance multi-core radar processing system, allowing denser point cloud output and enhanced algorithms that enable next-generation ADAS systems. This results in better separability of objects, improved detection reliability, and more accurate classification of objects such as vulnerable road users or lost cargo. In April, NXP reported first-quarter results. The company reported first-quarter revenue of $2.84 billion, down 9%, in line with analyst estimates. The company reported first-quarter adjusted earnings of $2.64 per share, beating analyst estimates of $2.58. NXP expects second-quarter revenue of $2.8 billion to $3 billion versus estimates of $2.87 billion. The company sees second-quarter adjusted earnings of $2.46 to $2.86 per share versus estimates of $2.65. "NXP's first-quarter results and guidance for the second quarter underpin a cautious optimism that NXP continues to effectively navigate through a challenging set of market conditions. We are operating in a very uncertain environment influenced by tariffs with volatile direct and indirect effects," said Kurt Sievers, president and CEO of NXP. "Considering these external factors, we are redoubling our efforts to manage what is in our direct control, enabling NXP to drive solid profitability and earnings," Sievers added. Price Action: NXPI stock is trading up 0.97% to $188.69 at the last check on Thursday. Image via Shutterstock Up Next: Transform your trading with Benzinga Edge's one-of-a-kind market trade ideas and tools. Click now to access unique insights that can set you ahead in today's competitive market. Get the latest stock analysis from Benzinga? This article NXP Unveils Next-Gen Radar Chip To Boost Autonomous Driving Systems originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Time of India
08-05-2025
- Automotive
- Time of India
NXP introduces third-generation imaging radar processors for advanced autonomous driving
NXP Semiconductors has introduced its S32R47 imaging radar processors , utilising 16 nm FinFET technology, to enhance autonomous driving capabilities. The third-generation processors, building on NXP 's radar expertise, offer twice the processing power with improved cost and power efficiency. These processors, combined with NXP's other solutions, meet safety standards and aim to advance autonomous driving. The new S32R47 processors address the growing demand for autonomous driving technology . They are essential for features like piloted driving and automated parking . 'The S32R47 can efficiently process three times, or more, antenna channels in real time than today's production solutions. It enables improved imaging radar resolution, sensitivity and dynamic range - required by demanding autonomous driving use cases - while still meeting the stringent power and system cost targets set by OEMs for volume production', said Meindert van den Beld, Senior Vice President & General Manager, Radar & ADAS.
Yahoo
08-05-2025
- Automotive
- Yahoo
NXP Unveils Third-Generation Imaging Radar Processors for Level 2+ to 4 Autonomous Driving
NXP USA, Inc. NXP Unveils Third-Generation Imaging Radar Processors for Level 2+ to 4 Autonomous Driving NXP Semiconductors today unveiled its new S32R47 imaging radar processors in 16 nm FinFET technology, building on NXP's proven expertise in the imaging radar space. S32R47 family are NXP's highest performing radar processors, addressing the demanding requirements of Level 2+ to 4 autonomous driving Higher resolution sensing enables advanced use cases like detection of vulnerable road users (VRUs) and lost cargo More compute capability allows OEMs to develop advanced applications like navigation on autopilot while meeting the demands of tomorrow's software-defined vehicles (SDVs) at scale EINDHOVEN, The Netherlands, May 08, 2025 (GLOBE NEWSWIRE) -- NXP Semiconductors N.V. (NASDAQ: NXPI) today unveiled its new S32R47 imaging radar processors in 16 nm FinFET technology, building on NXP's proven expertise in the imaging radar space. The third generation of imaging radar processors delivers up to twice the processing power versus the previous generation, alongside improved system cost and power efficiency. In combination with NXP's mmWave radar transceivers, power management and in-vehicle networking solutions, the S32R47 family meets functional safety ASIL ISO 26262 ASIL B(D) requirements and prepares the automotive industry for new levels of autonomous driving. According to Yole Intelligence's Status of the Radar Industry 2024 report, by 2029, approximately 40% of vehicles entering the road will be passenger cars with driving automation Level 2+(L2+)/ Level 3 (L3) as well as an increasing number of vehicles with Level 4 (L4). To serve the fast-growing autonomous driving market for SDVs, automotive OEMs and tier 1 suppliers need to improve radar performance as it is essential for safe, advanced autonomy features such as piloted driving or fully automated parking. 'The S32R47 can efficiently process three times, or more, antenna channels in real time than today's production solutions. It enables improved imaging radar resolution, sensitivity and dynamic range - required by demanding autonomous driving use cases - while still meeting the stringent power and system cost targets set by OEMs for volume production,' said Meindert van den Beld, Senior Vice President & General Manager, Radar & ADAS. Imaging radar leverages richer point cloud data for more detailed modeling of the environment. This is a key enabler for AI based perception systems which allow for assisted and autonomous driving in the most challenging environmental conditions, such as complex urban scenarios. The S32R47 integrates a high-performance multi-core radar processing system, allowing denser point cloud output and enhanced algorithms that enable next-generation ADAS systems. This results in better separability of objects, improved detection reliability and more accurate classification of objects such as vulnerable road users or lost cargo.
