Explore The Cost-Effective Way To Support Mandatory ADAS Systems


Cars mean more than traveling from point A to point B. They are also directly or indirectly linked to one's personal freedom – where to go, when to leave, with whom to travel – and have become a reflection of our priorities, tastes, aspirations, who we are (more often it's what we want to project ourselves to be), etc. This is why cars come in thousands of variations in color, size, and equ... » read more

Sensor Fusion Challenges In Automotive


The number of sensors in automobiles is growing rapidly alongside new safety features and increasing levels of autonomy. The challenge is integrating them in a way that makes sense, because these sensors are optimized for different types of data, sometimes with different resolution requirements even for the same type of data, and frequently with very different latency, power consumption, and re... » read more

Optimizing Event-Based Neural Network Processing For A Neuromorphic Architecture


A new technical paper titled "Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration" was published by imec, TU Delft and University of Twente. Abstract "Neuromorphic processors promise low-latency and energy-efficient processing by adopting novel brain-inspired design methodologies. Yet, current neuromorphic solutions still str... » read more

Auto Network Speeds Rise As Carmakers Prep For Autonomy


In-vehicle networks are starting to migrate from domain architectures to zonal architectures, an approach that will simplify and speed up communication in a vehicle using fewer protocols, less wiring, and ultimately lower cost. Zonal architectures will partition vehicles into zones that are more manageable and flexible, but getting there will take time. There is so much legacy technology in ... » read more

An Open-Source Solution To Accelerate Autonomous Vehicle Validation And Verification Research


A technical paper titled “PolyVerif: An Open-Source Environment for Autonomous Vehicle Validation and Verification Research Acceleration” was published by researchers at Florida Polytechnic University, Embry-Riddle Aeronautical University, Tallinn University of Technology, and Acclivis Technologies. Abstract: "Validation and Verification (V&V) of Artificial Intelligence (AI) based cyb... » read more

Physical Removal Attack On LiDAR Sensors And Mitigation Strategies


A technical paper titled "You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks" was published by researchers at University of Michigan, University of Florida and the University of Electro-Communications (Japan). This paper was included at the recent 32nd USENIX Security Symposium. Abstract: "Autonomous Vehicles (AVs) increasingly use LiDAR-base... » read more

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

New Approaches To Sensors And Sensing


Sensors are becoming more intelligent, more complex, and much more useful. They are being integrated with other sensors in sensor fusion, so a smart doorbell may only wake up when it’s imperative to see who’s at the door, and a microphone may only send alerts when there are cries for help or sounds of glass breaking. Kim Lee, senior director of system applications engineering at Infineon, t... » read more

Confusion Grows Over Sensor Fusion In Autos


A key strategy for fully autonomous vehicles is the ability to fuse together inputs from multiple sensors, which is essential for making safe and secure decisions, but it's turning out to be much harder than first imagined. There are multiple problems that need to be solved, including how to partition, prioritize, and ultimately combine different types of data, and how to architect the proce... » read more

Solving The Last-Mile Delivery Problem


Retailers are deploying robots to cut costs and improve efficiency, opening new opportunities for chipmakers as well as a host of new challenges. Key to this strategy are autonomous roadside delivery robots (ARDRs). Retailers have been facing razor-thin profit margins for years and have turned their sights to increasing operational efficiency to stay competitive. Solving the last-mile delive... » read more

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