Zadar Labs Becomes Texas Instruments (TI) Ecosystem Partner

Silicon Valley, CA - October 10th, 2025  Zadar Labs, a global leader in next-generation 4D imaging radar systems, is proud to announce its official partnership with Texas Instruments (TI), a world-renowned semiconductor company and technology innovator. Zadar Labs is now featured on the TI Ecosystem Partner Network, joining an elite group of companies delivering cutting-edge solutions powered by TI components.

Together, the two companies are enabling scalable, high-performance sensing platforms for the future of mobility, robotics, surveillance, and smart infrastructure.

"Texas Instruments has consistently demonstrated reliability and superior performance as a leading radar silicon provider." said Mazi Taghivand, PhD, Chief Business Officer at Zadar Labs. “As a system integrator of the world’s highest-performance software-defined 4D imaging radar, Zadar Labs continuously seeks the most advanced radar silicon solutions available."  

To learn more about Zadar Labs’ radar technology and integration with TI components, visit www.zadarlabs.com or explore our TI profile: ti.com/partner/ZADAR.

Zadar Labs and Cornes Technologies Partner to Deliver Cutting-Edge Radar Solutions to Japan’s Mobility Sector

Non-exclusive partnership expands access to high-resolution 4D radar in Japan’s fast-growing ADAS, robotics, and infrastructure markets.

San Jose, CA & Tokyo, Japan – August 6th, 2025 – Zadar Labs, a U.S.-based leader in high-performance 4D imaging radar technologies, has entered into a non-exclusive distribution agreement with Cornes Technologies Limited , one of Japan’s most respected technology distributors. This partnership will bring Zadar’s advanced radar solutions, including zPRIME and zPULSE, to a wide range of Japanese customers in the automotive, robotics, and smart infrastructure sectors.

“Our mission is to empower intelligent systems with the world’s highest resolution 4D imaging software-defined radar,” said Mazi Taghivand, Chief Business Officer at Zadar Labs.”

The collaboration follows extensive technical alignment and strategic discussions. The goal: to address growing demand for scalable, all-weather perception systems that work reliably in dense, high-speed, and low-visibility environments.

Cornes Technologies, with a legacy of excellence in representing global technology brands, is expected to help accelerate Zadar’s footprint in Japan by offering local market expertise and client integration support across various mobility and public safety initiatives.

Zadar Labs will showcase its full product suite at the upcoming Automotive Engineering Expo in Yokohama, with live demonstrations of its software-defined radar platforms and their real-time performance in dynamic environments.

About Zadar Labs

Zadar Labs is a leader in high-performance 4D imaging radar technology for safety and security in the mobility and infrastructure markets. Zadar’s disruptive imaging radars are being utilized by many leading OEMs and system integrators to deliver unprecedented high resolution and all-weather clear vision in markets such as autonomous mobility, agriculture, logistics, transportation, and public safety. Zadar Labs is headquartered in Silicon Valley. Learn more at www.zadarlabs.com.

About Cornes Technologies Ltd.

Cornes Technologies Ltd., established in 1932, is a premier provider of advanced technology solutions in Japan. Serving industries including automotive, aerospace, imaging, and scientific research, Cornes represents world-class manufacturers and delivers innovative products and services across the Japanese market. Learn more at www.cornestech.com.

Zadar Labs Expands Global Presence with HKSTP

Zadar Labs Expands International Footprint with New R&D Center at Hong Kong Science and Technology Parks Corporation (HKSTP)

Close-up of Zadar Labs radar hardware units arranged on a table with a blurred Zadar logo in the background.

Accelerating 4D Imaging Radar Adoption Across Mobility, Safety, and Infrastructure Sectors

Silicon Valley, CA – July 22nd, 2025 — Zadar Labs, a global leader in 4D imaging radar systems for safety and perception, today announced the opening of a new international research and development center at the Hong Kong Science and Technology Parks Corporation (HKSTP) — one of Asia’s premier innovation ecosystems connecting deep-tech, industry, and academia.

This expansion marks a strategic move for Zadar Labs as it scales development and deployment of its software-defined, high-resolution radar technology across the Asia-Pacific region. The new R&D office will focus on advancing Zadar’s all-weather, high-fidelity radar systems, which power next-generation solutions in mobility, public safety, logistics, robotics, and smart infrastructure.

“Our high-resolution imaging radar is gaining strong traction in next-generation mobility and infrastructure safety,” said Behrooz Abdi, CEO of Zadar Labs. “We are thrilled to join the HKSTP ecosystem and work alongside forward-thinking institutions and strategic investors. This expansion strengthens our ability to deliver scalable, performance-driven 4D radar solutions to meet growing global demand.”

HKSTP - Hong Kong Science and Technology Parks Corporation offers a robust ecosystem for R&D and innovation with access to a competitive semiconductor supply chain and strong intellectual property protections — key factors that will enable Zadar Labs to accelerate its go-to-market strategy and regional impact.

About Zadar Labs

Headquartered in Silicon Valley, Zadar Labs is redefining next-generation perception with its advanced 4D imaging radar technology. The company delivers high-performance, software-defined radar systems designed for mobility, infrastructure, security, robotics, agriculture, and autonomous machines. Zadar’s radar products are trusted by OEMs and system integrators worldwide for their unprecedented resolution, all-weather reliability, and real-time data processing capabilities.

For more information, visit www.zadarlabs.com

Excited to be at CES 2025

Excited to be at CES 2025! Stop by our booth at The Venetian Expo, Level 1, Hall G, #60907 to connect, learn, and explore. See you there!

Zadar Labs Accelerates DPU Development for Imaging Radar

Zadar Labs, a leading developer of 4D imaging radar, is building a first-of-its kind deep learning training dataset for radar-based perception. Zadar is accelerating the path toward radar-based target classification through a collaboration with Xilinx, Inc. to develop and leverage its 4D radar deep learning processor unit (DPU).

Radar is a robust and widely utilized technology in many industries, most notably automotive ADAS and autonomous vehicles and trucks. The ability to perform target classification using radar is expected to significantly expand the capabilities and applications of safety and automated systems.

Zadar’s unique approach of developing an end-to-end Software-Defined Imaging Radar (SDIR) platform generates the high quality point clouds needed to build the training dataset for deep learning algorithms. Zadar and Xilinx have identified a gap in the market when it comes to imaging radar. Having better data is only part of the solution. Data intelligence and insights are needed to truly advance radar performance. Other mainstream sensor modalities, such as camera and Lidar, have an ecosystem of artificial intelligence (AI) and machine learning (ML) approaches that best suit their respective data types. However, these established techniques do not readily lend themselves to imaging radar.

The depth and quality of the imaging point cloud provides not only detection location, but velocity as well as signal-to-noise ratio and the power of the reflection. Zadar’s SDIR solution takes this one step further by including additional detection characteristics. Fundamentally, new AI and ML techniques are required to bring out the untapped potential of imaging radar.

Currently, the team at Zadar is focusing on a training dataset for target classification. However, this is only the beginning. As the dataset is refined and scales so too will the opportunity for perception engineers to develop novel radar-based algorithms.

Zadar’s SDIR creates a layer of intelligent operation on top of 4D imaging technology as well as provides access to data along the signal and data processing chain. This enables the platform to be dynamic and work in collaboration with the perception algorithms to respond to the operating environment and provide optimal performance based on the needs of the system. For instance, if the scenario requires, Zadar’s solution can discern the movement of a human’s arms relative to the body or identify the wheels of a vehicle. It is this level of performance that is required to achieve radar-based target classification.

Zadar’s dataset is a powerful tool in building the foundation of radar-based perception. Through their collaboration, Xilinx has utilized the dataset for the development of their 4D radar DPU.

“We developed our 4D imaging radar platforms to bring the power of radar vision to the world and unlock deep learning and AI applications for radar and radar fusion with other sensors.” said Mahmoud Saadat, CEO and co-founder of Zadar Labs. “We are excited to continue our collaboration with Xilinx to bring the most advanced radar vision solution to market.”

“Our collaboration with Zadar Labs represents an important milestone for 4D radar-based perception,” said Willard Tu, senior director, Automotive, Xilinx. “Together we will work to provide automotive OEMs and Tier-1 Suppliers with a solution that will expand the capabilities of safety and automated systems. We look forward to working closely with Zadar Labs to equip the auto industry with this innovative approach that will provide enhanced vehicle data intelligence and insights.”

New 4D Automotive Radars Hitting the Market

Promising near LiDAR resolution, enabling fully autonomous vehicles and other sensing applications

There has been a lot of activity recently around next generation radar sensors for automotive applications. These newer “4D radar” units determine an object's location in range, azimuth, elevation, and relative speed to provide detailed information about the driving environment as earlier automotive radar systems only captured speed and azimuth. Radar also works in poor visibility conditions (rain, fog) where Lidar does not. These new radar sensors provide better resolution than previous versions which is where Lidar excels. Here are some of the latest developments in this area.

In Jan, Zadar Labs announced that the company has raised $5.6M in seed funding. Zadar's says it has breakthrough signal processing algorithms, proprietary AI image processing techniques, and in-house antenna design, so their platforms can perform in the horizontal and vertical domains with sub-degree resolution. Zadar has already released their mid-range sensor, zSIGNAL, reaching 250-meter range. The sensor is currently under evaluation by several customers in the autonomous vehicle space. Zadar is looking to further support customers in 2021 through the launch of their long-range sensor, zPRIME. The new platform will be capable of 400-meter range with resolution comparable to LiDAR.

In March, Oculii announced the launch of FALCON and EAGLE leveraging its AI-powered Virtual Aperture Imaging software platform and existing automotive-grade radar hardware. Oculii’s approach uses AI software to greatly improve the performance of current radar sensor technology.  Oculii’s AI-powered Virtual Aperture Imaging platform dynamically sends out an adaptive, phase-modulated waveform that changes in real time with the environment and then encodes that data over time, increasing the resolution of any radar hardware up to 100x. This improved resolution and sensitivity unlocks the potential of market proven commercial radars by enabling all-weather sub-degree horizontal and elevation spatial resolution up to 350 meters around a full 360-degree field of view. EAGLE is a commercial 4D imaging radar, delivering joint 0.5 degrees H x 1 degree V spatial resolution across a wide 120 degrees H 30 degrees V instantaneous field of view. EAGLE delivers the spatial resolution of an 8-chip cascaded radar (24T32R) on a cost-effective, low-power 2-chip (6T8R) hardware platform. Using cost- and power-efficient DSPs for processing rather than FPGAs, EAGLE consumes less than 5 W of total power and is smaller than an index card, enabling discrete integration options that preserve the aesthetics of the autonomous platform. FALCON is a compact 4D imaging radar, delivering high-resolution performance in a 5 x 5 cm package that is smaller than a business card. FALCON has 2-degree horizontal resolution across a wide 120-degree field of view and can simultaneously measure elevation of the targets as well. Four FALCON sensors fused together can provide a 360-degree bubble of safety up to 200 meters in all directions and be effective in all environmental conditions. Built on a single-chip (3T4R), low-power, cost-effective hardware platform, FALCON consumes less than 2.5 W of power and is smaller than a business card, enabling it to be leveraged effectively in a corner-radar automotive ADAS application or an autonomous robotic application where energy efficiency is critical. While EAGLE and FALCON are full-stack sensor solutions, Oculii’s Virtual Aperture Imaging platform is hardware agnostic, highly modular and available for licensing.

In April, Uhnder and Yunshan Technologies delivered a digital perception radar sensor solution for use in autonomous trucks operating in shipping ports. China Merchants Port (CMPort) is a recognized early technology adopter and is deploying digital perception radar in a fleet of autonomous trucks operating at its Mawan Smart Port in Shenzhen. The Mawan Smart Port is CMPort’s leading project site for the deployment of the latest intelligent port technologies. The Uhnder digital perception radar solution provides high-precision data to ensure an autonomous truck arrives in the correct position, to within 5 cm, for automated container movement between the ship and storage or departure areas. Uhnder’s digital perception radar technology enables a large number of co-located radars operating within the industrial port to co-exist reliably. This is a challenge that analog radar solutions have not been able to meet. The Uhnder digital perception radar solution generates a rich 4D point cloud with the ability to detect and track thousands of objects. It has high contrast resolution capability enables perception solutions to clearly identify closely spaced objects common in the port setting, for example, a worker next to a container. The sensor solution uses a digital code modulation that results in best-in-class interference immunity performance. The company noted that 12 radar units are typically used on each autonomous truck and are resistant to interference due to their CDMA inspired coded modulation scheme. There are about 1018 code possibilities so the probability for interference is very low. In addition, their radar units have about 35 dB of high contrast resolution compared to current radar units that have much lower contrast resolution.

In May, Vayyar Imaging launched the industry’s first multi-range “XRR” chip, a single RFIC with a range of 0 to 300 m, designed for passenger cars, trucks and motorcycles. Supported by a 48-antenna MIMO array, the leading-edge platform provides radar imaging with unprecedented accuracy for numerous safety applications, without the need for external processors. With an ultra-wide field of view and rich 4D point cloud imaging, it delivers excellent multifunctionality on a single-chip platform, supporting dozens of advanced driver assistance systems (ADAS), advanced rider assistance systems (ARAS) and autonomy features. This eliminates the need for multiple, costly vehicle sensors and reduces costs, complexity, hardware, software, power consumption, wiring and integration efforts.

Also in May, Arbe announced its 4D Imaging Radar Solution with 2K resolution is available on the open NVIDIA DRIVE platform. Arbe's imaging radar availability aims to accelerate the development of autonomous vehicles. By allowing leading OEMs and Tier 1 suppliers to access the 4D imaging radar data on NVIDIA's AV platform, Arbe's solution can serve as the basis for advanced safety applications, sensor fusion, and perception algorithm development. NVIDIA DRIVE is a scalable, software-defined, end-to-end AI platform for the transportation industry, delivering the computing horsepower and software necessary for highly automated and autonomous driving. Hundreds of companies around the world are developing on NVIDIA DRIVE, including auto- and truck makers, Tier 1 suppliers, robotaxis, sensor and mapping companies and AV startups.

In June, Infineon released XENSIV™ radar sensors, AURIX™ microcontrollers and OPTIREG™ PMICs, for an ultra-wideband, ultra-low power and cost-performance scalable architecture for ICMS sub-systems. The devices support the use of new signal processing techniques enabling robustness and a good compromise between computational costs, the degree of information as well as the power consumption of the system. The XENSIV BGT60ATR24C radar sensor is a cognitive sensing solution with multiple transmit/receive for virtual array configurations, a highly agile modulation generation mechanism, automatic power mode configurability as well as simplified interfaces between RF and the processing side. The AURIX TC3xx MCU family combines performance with a powerful safety architecture. The family integrates a fast radar signal processing unit and enhanced security with the second-generation of the hardware security module. This includes asymmetric cryptography accelerators and full EVITA support. This sensor-MCU combination makes Infineon’s 60 GHz automotive portfolio ideal for ICMS applications. In addition, the partnerships with bitsensing, a South Korean imaging radar technology start-up, and Caaresys, a start-up based in Israel, enables customers to accelerate their development cycle. Infineon has had the XENSIV radar sensor since last year with many announcements and collaborations with companies including Arrow Electronics (Feb), Blumio (last June) and others.

Magna International recently announced that its ICON Radar will debut on the Fisker Ocean next year marking the first application of digital radar for driver-assisted technology. Magna and Austin, Texas-based Uhnder partnered to develop the technology, which continuously scans its full environment in 4D, resulting in higher resolution and better contrast than analog radar. The ICON Radar has the power to sense moving or standing objects of all sizes at both short and long distances. Uhnder’s technology allows objects to be resolved in difficult situations where an object with a small radar signature can be detected against one with a larger signal and works in “noisy” environments as it uses technology similar to CDMA. ICON Radar eliminates interference concerns as each digital radar has a quintillion unique codes embedded into the signal it transmits, helping minimize the negative effects of mutual interference. Magna’s agreement to acquire Veoneer was announced July 22 and will further strengthen the company’s radar portfolio. Veoneer has produced more than 40 million radar sensors (an Autoliv spinoff that was acquired from MACOM). ICON Radar is one part of the full portfolio of ADAS sensor solutions that Magna offers, providing automakers a full-systems approach to bringing ADAS technology to their vehicles. But on August 5, Qualcomm offered 18.4% more after the board had accepted the Magna offer, so we will have to see what happens there.

Around the same time, Metawave Corp. announced delivery of the automotive industry’s first 76-81 GHz beamformer chip alpha samples and evaluation boards to MIRISE Technologies, the joint venture between DENSO and Toyota Motor Corporation. MIRISE was launched last year to focus on next-generation in-vehicle semiconductors, and from its inception, has worked closely with the Metawave team to evaluate the beamformer chip and the beamsteering radar. In 2020, Metawave successfully demonstrated the industry’s first analog beamsteering radar, SPEKTRA™, using its initial discrete phase-shifter components. SPEKTRA radar can clearly and consistently detect vehicles beyond 300 meters and pedestrians beyond 200 meters with the high angular resolution and accuracies at these long ranges. Metawave is the only automotive radar company to demonstrate a calibrated phased array and front-end solution that enables analog beamforming signals using a single, conventional Frequency-Modulated Continuous Wave (FMCW) radar chip developed by Texas Instruments (TI). The SPEKTRA radar uses Metawave’s MARCONI™ beamformer chip for multi-channel operation at 77 GHz. The MARCONI antenna in package can steer a focused, high-gain beam while running advanced Virtual MIMO Array algorithms giving SPEKTRA radar-based platforms an edge over conventional, purely digital radars according to the company.

And in early August, Piaggio Fast Forward (PFF), the Boston-based robotics company in smart following technology, announced a new sensor technology for implementation not only in consumer and business robots but also in scooters and motorcycles. PFF’s hardware-software modules offer uncompromising safety by providing robust monitoring in all environmental and lighting conditions. PFF awarded a supply contract for the modules’ radar-on-chip to Vayyar Imaging, marking the deployment of the industry's first ever 4D imaging radar-based motorcycle safety platform. The complete sensor package is developed, built and supplied by PFF for mass production in Piaggio Group motorcycles’ advanced rider assistance systems (ARAS). The PFF modules support functions such as blind spot detection, lane change assist and forward collision warning with a single sensor supporting a range of over 100 m, and an ultra-wide field-of-view. PFF robots incorporating the radar technology are expected to be released at the end of 2021, with Piaggio Group motorcycle models equipped with the PFF sensor module launching in 2022.

There has been so much activity in this area that I sure I have missed some announcements but think this is a good summary. You can listen to our online panel session “Taking Automotive Radar Sensors to the Next Level” for some perspectives on this technology.