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Product
Integrated AI-ADAS ECU And Cameras For Large Commercial Vehicle
ADM-TJ30
Electronic Control Unit
The integrated AI-ADAS ECU is connected to 8 cameras and powered by the vision-AI algorithm. It can detect and classify different kinds of vehicles/ pedestrians/ two-wheeler riders/ lane marking and other objects to perform multiple ADAS functions.
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Product
PXIe-1487, 8 Input, 8 Output, or 4 Input/4 Output PXI FlexRIO GMSL™ Interface Module
787456-01
Interface
The PXIe-1487 combines the Maxim Integrated Gigabit Multimedia Serial Link™ (GMSL™) interface with the Xilinx FPGA for high-throughput vision and imaging applications. This module provides a … high-speed digital interface for using and testing modern advanced driver assistance systems (ADAS) and autonomous drive (AD) camera sensors and electronic control units (ECUs). Additionally, the PXIe-1487 makes use of a combination of GMSL™ serializers and deserializers with a Xilinx FPGA to provide a high-throughput and customizable GMSL™ interface on PXI. The included FlexRIO driver, with LabVIEW FPGA examples, provides access and control for power-over-coax, I²C back-channel communication, and general-purpose input/output (GPIO) communication on the GMSL™ channels. The PXIe-1487 is ideal for applications such as in-vehicle data logging, lab-based playback, or hardware-in-the-loop (HIL). GMSL is a trademark of Maxim Integrated Products, Inc.
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Product
NI Vehicle Radar Test System
Test System
VRTS provides automated radar measurement and obstacle simulation capabilities for 76 to 81 GHz automotive radar systems. With VRTS, you can perform precision RF measurements and simulate a wide range of test scenarios for radar hardware and software subsystems, including sensors, advanced driver assistance systems (ADAS), and embedded software. Use VRTS for all phases, from design to manufacturing, of ADAS and radar system test.
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Product
Doppler Radar Target Simulators
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Automotive radar sensors play a vital role in the current development of autonomous driving. Their ability to detect objects even under adverse conditions makes them indispensable for environment-sensing tasks in autonomous vehicles. As their functional operation must be validated in-place, a fully integrated test system is required. Radar Target Simulators (RTS) are capable of executing end-of-line, over-the-air validation tests by looping back a received and afterward modified radar signal and have been incorporated into existing Vehicle-in-the-Loop (ViL) test beds before. However, the currently available ViL test beds and the RTS systems that they consist of lack the ability to generate authentic radar echoes with respect to their complexity. The paper at hand reviews the current development stage of the research as well as commercial ViL and RTS systems. Furthermore, the concept and implementation of a new test setup for the rapid prototyping and validation of ADAS functions is presented. This represents the first-ever integrated radar validation test system to comprise multiple angle-resolved radar target channels, each capable of generating multiple radar echoes. A measurement campaign that supports this claim has been conducted.
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Product
TySOM Embedded Prototyping Boards
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TySOM™ is a family of embedded system prototyping boards. Depending on the board, one of three FPGAs will be at its heart: a Xilinx Zynq® UltraScale+™, a Xilinx Xilinx Zynq-7000 or a Microchip PolarFire SoC. The boards are compatible, through industry standard interfaces (FMC or BPX), with Aldec’s wide range daughter cards, making Aldec’s TySOM embedded prototyping boards ideal for the rapid development of applications that include automotive (and ADAS, in particular), artificial intelligence (AI), machine learning (ML), embedded vision, embedded-HPC (including edge-processing), IoT, IIoT and industrial automation.
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Product
Analysis Tool for ECU Networks and Distributed Systems
CANape
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The primary application area of CANape is in optimizing parameterization (calibration) of electronic control units. During a measurement process, you can simultaneously calibrate parameters and record signals. The communication between CANape and the ECUs takes place via protocols such as XCP or via microcontroller-specific interfaces with the VX1000 measurement and calibration hardware. CANape supports various ADAS sensors such as radar, LIDAR and video. Combined with high-performance hardware, CANape can store multiple gigabytes of data per second. Calibration data management and convenient measurement data evaluation including data management as well as reporting make CANape a complete tool for ECU calibration. Of course, CANape also provides access to bus data, diagnostic data and analog measurement data.
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Product
Embedded MXM GPU Module With NVIDIA RTX™ ADA 5000
EGX-MXM-AD5000
Graphics Card
- NVIDIA Ada Lovelace Architecture- Standard MXM 3.1 Type B (82x105 mm)- PCIe Gen4x16 interface- 9728 CUDA® Cores, 76 RT Cores, and 304 Tensor Cores- 42.6 TFLOPS peak FP32 performance- 16GB GDDR6 memory, 256-bit- 576GB/s maximal memory bandwidth- 5-year Availability
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Product
PCI Express Graphic Card NVIDIA RTX 4000E Ada
NVIDIA RTX 4000E Ada
Graphics Card
- NVIDIA Ada Lovelace Architecture- 5-year Longevity Support- Full height, full length design- PCIe Gen4x16 interface- 20GB GDDR6 Memory, 160-bit Bandwidth- 6144 CUDA Cores, 26.7 TFLOPS SP Peak
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Product
Embedded MXM GPU Module With NVIDIA RTX™ ADA 3500
EGX-MXM-AD3500
Graphics Card
- NVIDIA Ada Lovelace Architecture- Standard MXM 3.1 Type B (82x105 mm)- PCIe Gen 4 x16 Interface- 5120 CUDA® Cores, 40 RT Cores, and 160 Tensor Cores- 23 TFLOPS peak FP32 performance
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Product
Ada Development Environment
GNAT Pro
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GNAT Pro is a robust and flexible Ada development environment. It comprises a full Ada compiler (Ada 83, Ada 95, and Ada 2005 features) based on the GNU GCC technology, an Integrated Development Environment (GNAT Programming Studio), a comprehensive toolsuite including a visual debugger, and a set of libraries and bindings.
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Product
Ada Embedded Software Test Solution
VectorCAST/Ada
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An integrated software test solution that significantly reduces the time, effort, and cost associated with testing Ada software components necessary for validating safety- and mission-critical embedded systems. VectorCAST/Ada parses your source code and invokes code generators to automatically create the test code (stubs and drivers) required to construct a complete, executable test harness.
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Product
PCI Express Graphic Card With NVIDIA RTX 2000E Ada
NVIDIA RTX 2000E Ada
Graphics Card
- NVIDIA Ada Lovelace Architecture- 5-year Longevity Support- Half height, half length design- PCIe Gen4x8 Interface- 16GB GDDR6 Memory, 128-bit Bandwidth- 2816 CUDA Cores, 12 TFLOPS SP Peak- 88 Tensor Cores, 191.9 TFLOPS- 4 x mDP (mini Display Port 1.4)
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Product
Embedded MXM GPU Module With NVIDIA RTX™ ADA 2000
EGX-MXM-AD2000
Graphics Card
- NVIDIA Ada Lovelace Architecture- Standard MXM 3.1 Type A (82x70 mm)- PCIe Gen 4 x8 Interface- 3072 CUDA® Cores, 24 RT Cores, and 96 Tensor Cores- 14.5 TFLOPS peak FP32 performance
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Product
PCI Express Graphics Card With NVIDIA RTX 2000 Ada
NVIDIA RTX 2000 Ada
Graphics Card
- NVIDIA Ada Lovelace Architecture- Half height, half length design- PCIe Gen4x8 interface- 16GB GDDR6 Memory, 128-bit Bandwidth- 2816 CUDA Cores, 12 TFLOPS SP Peak- 88 Tensor Cores, 191.9 TFLOPS- 4 x mDP (mini Display Port 1.4), 1 x USB-C
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Product
PCI Express Graphics Card With NVIDIA RTX 5000 Ada
NVIDIA RTX 5000 Ada
Graphics Card
- NVIDIA Ada Lovelace Architecture- Full height, full length design- PCIe Gen4x16 interface- 32GB GDDR6 Memory, 256-bit Bandwidth- 12800 CUDA Cores, 65.3 TFLOPS SP Peak
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Product
PCI Express Graphics Card With NVIDIA RTX 6000 Ada
NVIDIA RTX 6000 Ada
Graphics Card
- NVIDIA Ada Lovelace Architecture- Full height, full length design- PCIe Gen4x16 interface- 48GB GDDR6 Memory, 384-bit Bandwidth- 18176 CUDA Cores, 91.1 TFLOPS SP Peak
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Product
Ada Source Code Analyzer
CodePeer
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CodePeer is an Ada source code analyzer that detects run-time and logic errors. It assesses potential bugs before program execution, serving as an automated peer reviewer, helping to find errors efficiently and early in the development life-cycle. It can also be used to perform impact analysis when introducing changes to the existing code, as well as helping vulnerability analysis. Using control-flow, data-flow, and other advanced static analysis techniques, CodePeer detects errors that would otherwise only be found through labor-intensive debugging.
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Product
PCI Express Graphics Card With NVIDIA RTX 4500 Ada
NVIDIA RTX 4500 Ada
Graphics Card
- NVIDIA Ada Lovelace Architecture- Full height, full length design- PCIe Gen4x16 interface- 24GB GDDR6 Memory, 192-bit Bandwidth- 7680 CUDA Cores, 39.6 TFLOPS SP Peak
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Product
PCI Express Graphics Cards With NVIDIA RTX 4000 SFF Ada
NVIDIA RTX 4000 SFF Ada
Graphics Card
- NVIDIA Ada Lovelace Architecture- Half height, half length design- PCIe Gen4x16 interface- 20GB GDDR6 Memory, 160-bit Bandwidth- 6144 CUDA Cores, 19.2 TFLOPS SP Peak- 192 Tensor Cores, 106.8 TFLOPS- 4 x mDP (mini Display Port 1.4), 1 x USB-C
