TY - GEN
T1 - Autonomy-driven Emerging Directions in Software-defined Vehicles
AU - Bordoloi, Unmesh
AU - Chakraborty, Samarjit
AU - Jochim, Markus
AU - Joshi, Prachi
AU - Raghuraman, Arvind
AU - Ramesh, S.
N1 - Publisher Copyright:
© 2023 EDAA.
PY - 2023
Y1 - 2023
N2 - Over the past two decades, the volume of electronics and software in cars have grown tremendously. But this growth has also resulted in hardware and software architectures that are proving to be a bottleneck for further innovation and efficient design flows, especially when implementing compute-intensive functions necessary for modern autonomous features. For example, centralized architectures that are driven by the use of more powerful processors result in higher sensor-to-actuator delays. Similarly, timing uncertainties increase as signal-based in-vehicle communication is being replaced by more dynamic service-oriented communication architectures. Finally, the increasing volume of software running on powerful multicore ECUs is making timing analysis, including WCET estimation, to be very complex. As a result, timing estimates, when safe, are very pessimistic, which makes efficient implementations to be difficult. In this position paper, we outline some of these emerging challenges and discuss potential solutions.
AB - Over the past two decades, the volume of electronics and software in cars have grown tremendously. But this growth has also resulted in hardware and software architectures that are proving to be a bottleneck for further innovation and efficient design flows, especially when implementing compute-intensive functions necessary for modern autonomous features. For example, centralized architectures that are driven by the use of more powerful processors result in higher sensor-to-actuator delays. Similarly, timing uncertainties increase as signal-based in-vehicle communication is being replaced by more dynamic service-oriented communication architectures. Finally, the increasing volume of software running on powerful multicore ECUs is making timing analysis, including WCET estimation, to be very complex. As a result, timing estimates, when safe, are very pessimistic, which makes efficient implementations to be difficult. In this position paper, we outline some of these emerging challenges and discuss potential solutions.
KW - Software-defined vehicles
KW - autonomous vehicles
UR - http://www.scopus.com/inward/record.url?scp=85162616626&partnerID=8YFLogxK
U2 - 10.23919/DATE56975.2023.10136910
DO - 10.23919/DATE56975.2023.10136910
M3 - Conference contribution
AN - SCOPUS:85162616626
T3 - Proceedings -Design, Automation and Test in Europe, DATE
BT - 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023
Y2 - 17 April 2023 through 19 April 2023
ER -