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Software-Defined Cars


Automotive architectures are becoming increasingly software-driven, a shift that simplifies upgrades and makes it easier to add new features into vehicles. All of this is enabled by the increasing digitalization of automotive functions and features, shifting from mechanical to electrical design, and increasingly from analog to digital data. That enables OEMs to add or up-sell features years ... » 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

HD Map (EdgeMap) Crowdsources Data From Connected Vehicles in Auto Edge Computing


New research paper from University of Nebraska-Lincoln, Xidian University and University of North Carolina at Charlotte. Abstract "High definition (HD) map needs to be updated frequently to capture road changes, which is constrained by limited specialized collection vehicles. To maintain an up-to-date map, we explore crowdsourcing data from connected vehicles. Updating the map collaborati... » read more

A Novel Power-Saving Reversing Camera System with Artificial Intelligence Object Detection


Abstract "According to a study by the Insurance Institute for Highway Safety (IIHS), the driving collision rate of using only the reversing camera system is lower than that of using both the reversing camera system and the reversing radar. In this article, we implemented a reversing camera system with artificial intelligence object detection to increase the information of the reversing image... » read more

Improving Emergency Response in the Era of ADAS Vehicles in the Smart City


Abstract: "Management of emergency vehicles can be fostered within a Smart City, i.e. an urban environment in which many IoT devices are orchestrated by a distributed intelligence able to suggest to road users the best course of action in different traffic situations. By extending MATSim (Multi-Agent Transport Simulation Software), we design and test appropriate mitigation strategies when tr... » read more

Radar For Automotive: Why Do We Need Radar?


Communications and sensing technologies have transformed the automotive industry. More and more, cars include features and systems to interact with their environment, gaining awareness of the surrounding space, networking with each other and with the infrastructure, and detecting possible sources of danger. We can consider that vehicles have acquired their own “senses”: they know where they... » read more

E/E Architecture Synthesis: Challenges and Technologies


ACADEMIC PAPER Abstract "In recent years, the electrical and/or electronic architecture of vehicles has been significantly evolving. The new generation of cars demands a considerable amount of computational power due to a large number of safety-critical applications and driver-assisted functionalities. Consequently, a high-performance computing unit is required to provide the demanded pow... » read more

ADAS: MIPI Is Key


Building on the enormous design and manufacturing base which made high-resolution, miniaturized digital cameras possible for mobile phones, the universe of MIPI applications has expanded to the automotive world. Today’s cars, particularly with the increasing sophistication of Advanced Driver Assistance Systems (ADAS), are brimming with cameras, sensors, and displays. Park assist, driver monit... » read more

Multi-Task Network Pruning and Embedded Optimization for Real-time Deployment in ADAS


Abstract: "Camera-based Deep Learning algorithms are increasingly needed for perception in Automated Driving systems. However, constraints from the automotive industry challenge the deployment of CNNs by imposing embedded systems with limited computational resources. In this paper, we propose an approach to embed a multi- task CNN network under such conditions on a commercial prototy... » read more

Unknowns Driving Up The Cost Of Auto IC Reliability


Automotive chipmakers are considering a variety of options to improve the reliability of ICs used for everything from sensors to artificial intelligence. But collectively they could boost the number of process steps, increase the time spent in manufacturing and packaging, and stir up concerns about the amount of data that needs to be collected, shared, and stored. Accounting for advanced pro... » read more

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