Join us at AutoSens in Brussels where we are demonstrating intelligent system design for automobiles of the future, AI for pedestrian recognition, and automated AI development environment for image classification and object recognition.
Intelligent System Design for Automobiles of the Future
Join us in the exhibition (Booth 10) at AutoSens in Brussels where we are presenting an ADAS reference platform featuring an SoC with four Cadence® Tensilica® Vision P6 DSPs. The SoC achieves high-performance processing and high data throughput while keeping power consumption to a minimum. This is especially important for image-processing applications in automotive, computer vision, and neural network applications.
AI for Pedestrian Recognition
This on-device artificial intelligence (AI) demonstration of pedestrian recognition uses the Tensilica Vision P6 DSP and the Tiny YOLO (You Only Look Once) algorithm. The algorithm is based on a neutral network and is trained in the recognition of persons. Tiny YOLO is ideal for applications that require fast, energy-efficient object detection (including localization) for multiple object categories.
Automated AI Development Environment for Image Classification and Object Recognition
Software developers use environments such as Caffe or TensorFlow in the design of neural networks for image classification. The sometimes very complex networks must then be manually ported to a hardware platform and optimized—a challenging and time-consuming task. For this, Cadence has developed the Xtensa® Neural Network Compiler (XNNC), which shortens converting the neural networks into code for a Tensilica AI DSP as an embedded (target) processor from months to just days.
Advanced mm-Wave 3D Imaging Radar Solution Using Tensilica DSP
Radar and lidar sensors emit (modulated) electromagnetic waves that reflect off objects and are then detected back at the sensor.
Radar sensors emit millimeter waves that work well in poor weather conditions and at long distances, because the waves are not easily attenuated in the atmosphere. However, although they are small and low-cost, today they are not able to produce a high-enough resolution image at a distance, so it can distinguish between multiple objects—a problem that lowers the safe speed for autonomous driving. Radar manufacturers are now developing “imaging” or “4D” radar solutions that provide much higher resolution than using more antennas and requiring much more digital signal processing.
The newest members of the software-compatible Tensilica ConnX DSP family, the Tensilica B20 and B10, have been designed specifically to meet the requirements for new radar trends, with the B20 providing up to 10X more performance as compared to the popular Tensilica BBE32EP as part of the radar/lidar processing chain.
We look forward to meeting with you in Brussels! Register now via this link and receive a 20% discount on your registration fee!