Ainstein is proud to announce the availability of evaluation samples of its new 79 GHz CMOS Automotive Safety Radar, the T-79. The T-79 is a next-generation short range, wideband, high resolution automotive radar sensor built with Ainstein’s cutting edge radar technologies. It is another ground-breaking innovation resulting from close collaborations between Ainstein and Texas Instruments.
Ainstein’s T-79 Short Range Radar is built on RF-CMOS IC technology, allowing for ultra low power consumption and unit cost. The highly integrated hardware design paired with Ainstein’s proprietary advanced radar signal processing algorithms makes it capable of high resolution 360° detection when multiple units are configured on the vehicle. This allows for semi-autonomous or fully autonomous driving.
Its high spatial resolution supports the detection of cyclists or pedestrians in front and on the side of the vehicle, enabling warning or assist brake functions. The blind spot monitoring (BSD) function observes the adjacent lane, helping to avoid lane change collisions with traffic at approximately the same velocity. The lane change assistance (LCA) function, which observes the adjacent lane in the area behind the host vehicle, helps to avoid lane change collisions with approaching traffic. The rear cross traffic alert (RCTA) function observes the area behind the vehicle, helping to avoid collisions with traffic when driving in reverse.
Compared to existing automotive radars on the market, Ainstein’s T-79 short range Automotive Safety Radar offers one of the market’s highest range resolution, faster update rates, CAN-FD data link options, and is 30% smaller, making it a top solution for the implementation of sensor fusion for ADAS and self-driving applications.
Ainstein’s 79 GHz Automotive Radar is highly customizable for diverse applications. Ainstein can deliver custom solutions including custom radar specifications, data output options such as point cloud data or raw detection data, and custom data formats to allow for low level sensor fusion with complementary sensors.
With Ainstein’s 77 GHz Automotive Long Range Radar (Kanza-77) and the 79 GHz Short Radar (T-79), Ainstein’s portfolio offers a complete range of next generation automotive radar products. This portfolio allows automotive OEMs, Tier 1 suppliers and complementary sensor providers to gain complete access to the safety features the latest radar advancement offers.
If you’re interested in seeing a live product demonstration, Ainstein will be hosting a Public Product Release event at the AUTOMOBILI-D conference during the North American International Auto Show at Cobo Center in Detroit from January 14th-21st, 2018.
T-79 Demonstration in Beijing, China
T-79 Demonstration in KS, U.S.A
Ainstein Sensor Fusion & Artificial Intelligent Kit is the first to market radar sensor fusion, validation, and artificial intelligent processing kit. It’s purposely built for radar and camera sensor fusion development and sensor validation, and yet versatile to support additional processing functionalities.
Ainstein Sensor Fusion & Artificial Intelligent Kit can quickly and clearly validate the accuracy of the radar sensor by video input with sensor fusion technology, and reduce the development cycle significantly. With side by side panels, it displays the objects detected around the vehicle using the radar sensors. It also displays the video captured by the camera mounted at the same spot as the radar sensor with validation results.
Ainstein Sensor Fusion & Artificial Intelligent Kit, powered by Nvidia Jetson TX2 – this 7.5-watt supercomputer built around an NVIDIA Pascal™-family GPU and loaded with 8GB of memory and 59.7 GB/s of memory bandwidth. It supports a variety of standard hardware interfaces, such as CAN/USB, making it easy to integrate into your development environment.
Ainstein Sensor Fusion & Artificial Intelligent Kit can seamlessly interoperate with Ainstein’s Automotive Safety Radar product lines. It is also highly customizable to support additional sensor inputs chosen by the customers.
Ainstein has identified the crucial role that systems such as ROS have in the future of autonomous vehicles. We have developed Ainstein Sensor Fusion & Artificial Intelligent Kit with ROS and machine learning in mind. The kit has the ability to run ROS nodes, controlled by your trained machine learning models all on the same board! Ainstein Sensor Fusion & Artificial Intelligent Kit delivers the capabilities you need to take your autonomous projects to the next level!
Check out the Ainstein Sensor Fusion & Artificial Intelligent Kit in action:
Ainstein is proud to announce the availability of evaluation samples for Ainstein 77 GHz Automotive Safety Radar, Kanza-77, a new generation automotive radar sensor built with Ainstein’s cutting edge radar technologies.
Compared to existing automotive radars on the market, Ainstein Automotive Safety Radar Kanza-77 offers higher accuracy, faster update rates, and a point cloud output option, making it a great solution to implement sensor fusion for ADAS and self-driving applications.
Ainstein Automotive Safety Radar Kanza-77 is built on RF-CMOS IC technology allowing for ultra low power consumption and unit cost. The sensor’s powerful FPGA Systom-on-Chip based computing platform coupled with Ainstein’s advanced signal processing algorithms enable 3D high definition separation to detect and track static and dynamic objects up to 64 targets in the vehicle’s path. Ainstein Automotive Safety Radar Kanza-77 combines a wide field of view at mid-range with narrow field and long-range coverage to provide two measurement modes within a single package. Wide view, mid-range coverage enables detection of vehicles cutting in from adjacent lanes as well as identification of vehicles and pedestrians across the width of the equipped vehicle. Long-range coverage provides accurate object discrimination, range and speed data, and target angle for vehicles more than 100 meters away. These capabilities enable life-saving safety features such as forward collision warning, headway monitoring and warning, automatic emergency braking, pedestrian and cyclist collision warning, and adaptive cruise control.
Ainstein Automotive Safety Radar Kanza-77 is also highly customizable for customer applications. Ainstein can deliver custom solutions including custom radar specifications, data output options such as point cloud data or raw detection data, and custom data formats to allow for low level sensor fusion with complimentary sensors. All customization services are delivered by Ainstein’s PhD level scientists and senior industry engineers who continually push the forefront of self-driving sensors and bring this technology to the market.
Ainstein Automotive Safety Radar Kanza-77 is also compatible with Ainstein’s lab test and development equipment, such as the soon-to-be-released Sensor Fusion and Artificial Intelligent Kit. This test and development kit will help greatly reduce the development cycle for radar in ADAS and self driving applications.
Ainstein is actively looking for partners to bring advanced radar safety features to more markets. Please check out www.ainstein.ai for more information.
Ainstein AI was honored by being invited as the opening speaker in the 2017 Smart City Tech Summit’s Cutting-Edge Technology Showcase, held October 18, 2017 in Kansas City, MO. The conference brought together leading technology companies, developers, public safety professionals, and elected officials in the central US region. During the conference, Ainstein AI painted a picture of the future of public safety — one enabled by autonomous vehicles and innovative communication networks.
Ainstein AI’s sensors and control products are already beginning to enable such a reality, one in which autonomous vehicles and drones are safer and more reliable, and their capabilities are expanding. Public safety agencies and officials are increasingly interested in and deploying Ainstein technologies to protect citizens and public assets, and to make their dangerous jobs safer. Fire departments are already using drones to detect; search and rescue agencies are using drones to locate people who need assistance; law enforcement agencies are using drones to and remotely-piloted robotic vehicles to check for hazardous substances. Public transport agencies are using Ainstein technology enabled autonomous vehicles to improve the safety of highway workers.
Applications of autonomous vehicles and drones to public safety are only now gaining wider traction. Ainstein AI’s technologies feature industrial-level redundancy, reliability, and flexibility enabled by FPGA architecture, and ARM processing. In coming years Ainstein AI’s technologies will continue to give public safety agencies confidence that the machines they deploy to the field are safe, reliable, and secure from unauthorized control.
Interested in learning more? Visit ainstein.ai for further info, or contact us at email@example.com.
Ainstein today successfully demonstrated collision detection and avoidance in drones with the IWR1642 mmWave sensor from Texas Instruments (TI), and announced the collaboration with TI to feature mmWave sensors in its next generation collision avoidance solution, uSharp Patch D1. As a leading provider of autonomous flying solutions for drones, Ainstein sees TI IWR1642 sensor real-time intelligence capabilities as ideal for advanced detection algorithms, clustering, and object-classification algorithms required for flight in real world scenarios. With multi-mode design, Ainstein also offers uSharp Patch D1 as a low cost option for automobile safety and self-driving features. For co-development and more information, please contact hi at ainstein.ai.
“Using TI’s recently-announced mmWave sensors in their ‘sense and avoid’ solutions, Ainstein will make it possible for drone developers to design products that receive real-time, accurate data,” said Robert Ferguson, Industrial mmWave Sensors Product Line Manager, TI. “With entrance into the TI Design Network, Ainstein is making it easier for manufacturers to use TI technology to design more autonomous and accurate drones.”
“Ainstein is excited to work with TI,” said Zongbo Wang, Ainstein Founder and CEO. “We’re especially excited about the autonomous future enabled by TI’s mmWave sensors. We believe TI’s mmWave sensors will unleash a suite of applications that were not previously feasible and will open even more markets for our technology.”
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