Virtual Development Of Perception Sensor Systems


By Ron Martin and Christoph Sohrmann Over the past few years, there has been a marked expansion in research and development activities related to driver assistance systems as well as highly automated and connected driving systems. However, this has yet to translate into a higher degree of automation in the average production vehicle – especially for SAE Level 3 and above. The next step in ... » read more

AI Transformer Models Enable Machine Vision Object Detection


The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the models and simplify their development. Over the years, many AI models have been introduced, including YOLO, Faster R-CNN, Mask R-CNN, RetinaNet, and others, to detect images or video signals, interp... » read more

Improving Performance And Lowering Power In Automotive


Automotive OEMs are boosting their investments across the semiconductor ecosystem as stepping stones toward electrification and autonomy, and they are starting to encounter some of the same issues chipmakers have been wrestling with at advanced nodes — massive compute performance, thermal and power issues, reliability over extended lifetimes, and a highly diverse and geographically distribute... » read more

How ADAS and EVs Drive Semiconductor-To-Automotive Supply Chain Innovation


As EV and ADAS become the focus for the automotive industry, the supply chain is going through a transformation. The industry is keenly reminded of recent semiconductor shortages as well as the growing semiconductor content requirements per vehicle.  This prompts the entire supply chain including traditional semiconductor suppliers, Tier-1s, and automotive OEMs to rethink their strategies not ... » read more

Software-Defined Hardware Architectures


Hardware/software co-design has been a goal for several decades, but success has been limited. More recently, progress has been made in optimizing a processor as well as the addition of accelerators for a given software workload. While those two techniques can produce incredible gains, it is not enough. With increasing demands being placed on all types of processing, single-processor solutio... » read more

Machine Vision Plus AI/ML Adds Vast New Opportunities


Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to "see" far more than just pixel data from sensors, and opening up new opportunities across a wide swath of applications. In recent years, startups have been able to raise billions of dollars as new MV ideas come to light in markets ranging from transportation and manufacturing to heal... » read more

Designing Crash-Proof Autonomous Vehicles


Autonomous vehicles keep crashing into things, even though ADAS technology promises to make driving safer because machines can think and react faster than human drivers. Humans rely on seeing and hearing to assess driving conditions. When drivers detect objects in front of the vehicle, the automatic reaction is to slam on the brakes or swerve to avoid them. Quite often drivers cannot react q... » read more

How Safe Is Safe Enough?


That was the overarching question a group of 180 experts discussed last week at the ISO 26262 & SOTIF conference for four days during #FuSaWeek2023 in Berlin. "How Safe is Safe Enough" is also the title of Prof. Koopman's book from September 2022. I mentioned him in my blog "Are We Too Hard On Artificial Intelligence For Autonomous Driving?" Prof. Koopman was referenced often in Berlin, and... » read more

Automotive Safety Island


The promise of autonomous vehicles is driving profound changes in the design and testing of automotive semiconductor parts. Automotive ICs, once deployed for simple functions like controlling windows, are now performing complex functions related to advanced driver-assist systems (ADAS) and autonomous driving applications. The processing power required results in very large and complex ICs that ... » read more

Autonomous Driving: End-to-End Surround 3D Camera Perception System (NVIDIA)


A new technical paper titled "NVAutoNet: Fast and Accurate 360∘ 3D Visual Perception For Self Driving" was published by researchers at NVIDIA. Abstract "Robust real-time perception of 3D world is essential to the autonomous vehicle. We introduce an end-to-end surround camera perception system for self-driving. Our perception system is a novel multi-task, multi-camera network which takes a... » read more

← Older posts Newer posts →