June 30, 2017
IEEE Micro Special Issue on Automotive Computing
Jason Clemons, Nvidia
Hsien-Hsin Sean Lee, TSMC
Submission deadline: June 30, 2017
Author notification: August 31, 2017
Revised papers due: Sept 22, 2017
Publication: Jan/Feb 2018
The recent growth in computing capability has led to a surge of advanced driver assistance system (ADAS) features in modern automobiles that improve both the safety and driving experience. Machine learning continues to fuel advancements in recognition and computer vision technology that will eventually lead to autonomous vehicles. These autonomous vehicles will greatly decrease the number of collisions but will require even more computing and communication devices to be deployed in each vehicle. This special issue of IEEE Micro will explore novel design and emerging computing technologies for automotive applications to improve the performance, usability, and real-time data processing capability for future vehicles. This issue will also explore technologies to guarantee reliable and secure operations of future vehicles to enable autonomous driving.
Topics of interest include:
– Computer vision and image processing architecture
– Recognition and learning accelerator-based architecture
– Architectural support for ISO26262 compliance
– Architectural support for design for operational and thermal reliability
– Fault-hardened microarchitecture and system architecture
– Security-proof architecture and intrusion detection systems for automotive
– Architectures for real-time heterogeneous systems
– Architectures for real-time path planning
– Systems and architectures for vehicle communication systems
– Autonomous driving and data service platform architectures
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