2018
DOI: 10.1109/mce.2017.2771515
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Is Consumer Electronics Redesigning Our Cars?: Challenges of Integrated Technologies for Sensing, Computing, and Storage

Abstract: The paper critically analyzes the trends and limits of integrated technologies for sensing, computing and data storage when devices and systems, originally developed for consumer electronics, are used for self-driving cars. Some hints, supported by theoretical analysis and experimental measures, are provided to overcome the issues of inertial sensors, micro-mirrors for Lidar scanners, car data/program memories and computing platforms.

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Cited by 25 publications
(19 citation statements)
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“…The new generation of electric and autonomous driving vehicles is evolving towards a distributed connection of smart sensors, ECUs, and actuator control units (ACUs), up to one hundred devices for a premium car, with stringent requirements in terms of bandwidth, functional safety, and security. In addition, the complexity of the software, stored in the non-volatile memories of the ECUs, is continuously growing [34]; today, the number of software code lines on a premium car is reaching The main energy source of BEV is the high voltage battery, while the most important components of the EV are the electrical motors and the high voltage battery, which, together with the transmission system, builds the vehicle drivetrain architecture. These main components are assisted by a number of auxiliary subsystems, such as an ECU, a battery management system (BMS), and power electronics converters.…”
Section: E/e-architecture For Evsmentioning
confidence: 99%
See 1 more Smart Citation
“…The new generation of electric and autonomous driving vehicles is evolving towards a distributed connection of smart sensors, ECUs, and actuator control units (ACUs), up to one hundred devices for a premium car, with stringent requirements in terms of bandwidth, functional safety, and security. In addition, the complexity of the software, stored in the non-volatile memories of the ECUs, is continuously growing [34]; today, the number of software code lines on a premium car is reaching The main energy source of BEV is the high voltage battery, while the most important components of the EV are the electrical motors and the high voltage battery, which, together with the transmission system, builds the vehicle drivetrain architecture. These main components are assisted by a number of auxiliary subsystems, such as an ECU, a battery management system (BMS), and power electronics converters.…”
Section: E/e-architecture For Evsmentioning
confidence: 99%
“…The new generation of electric and autonomous driving vehicles is evolving towards a distributed connection of smart sensors, ECUs, and actuator control units (ACUs), up to one hundred devices for a premium car, with stringent requirements in terms of bandwidth, functional safety, and security. In addition, the complexity of the software, stored in the non-volatile memories of the ECUs, is continuously growing [34]; today, the number of software code lines on a premium car is reaching 100 million. Security against cyberattacks is a recent but very important issue in the transportation world.…”
Section: E/e-architecture For Evsmentioning
confidence: 99%
“…Recent studies on the future of the automotive and robotic industry predict that the borders between the ICT (Information and Communication Technology) industry and the consumer industry will blur, and that vehicles will become consumer-centric [13]. The huge market of 90-million vehicles sold worldwide per year is suited for integrated electronics and MEMS/MOEMS (micro electro/opto-electro mechanical systems) technologies and embedded control and signal processing tasks.…”
Section: Introductionmentioning
confidence: 99%
“…The use of vehicle-to-vehicle (V2V) communication is an integral part of intelligent transportation systems (ITSs) [1][2][3], and will be a core technology for high (L4, L5) autonomous driving levels. Since vehicles are becoming increasingly intelligent, they will be able to detect potential dangers, such crash risk, unsafe overtake, obstacles, improving collision avoidance and reducing fatalities.…”
Section: Introductionmentioning
confidence: 99%