Cloud native EDA tools & pre-optimized hardware platforms
Autosens Detroit will have 50 speakers from companies across the autonomous vehicle perception supply chain on topics including developments in RADAR and LiDAR, image quality, data, safe system design, advances in camera technology, in-cabin monitoring, supply chain outlook and more.
Senior Product Manager
Wednesday, May 11 | 2:55 PM EST | Toyota Engineering Theater
For the longest time, radar applications deployed DSPs featuring fixed point arithmetic, as floating point operations were considered to be inferior in terms of performance, power efficiency and area (PPA), which is critical for any embedded system.
Yet there has always been a desire to move to floating point arithmetic, as it allows for a larger dynamic range as required by the latest radar systems, achieving the required signal to noise ratio (SNR). This presentation will cover a detailed floating point / fixed point tradeoff analysis, featuring radar use cases.
It will also discuss the growing interest in AI enhanced radar algorithms, and how these can be enabled using a vector DSP, either standalone or combined with a tightly coupled AI accelerator. Specific focus will be given to the programming flow featuring support for TensorFlow, Caffe or ONNX.
The ARC VPX DSP family of VLIW/SIMD processors is optimized for the unique PPA requirements of embedded workloads including radar and LiDAR processing, engine control, and other automotive ADAS applicationsLearn More
The ARC NPX Neural Processing Unit (NPU) IP family
delivers the industry’s highest performance and
support for the latest, most complex neural network