Abstract
| Language | English |
|---|---|
| Title of host publication | 8th Mediterranean Conference on Embedded Computing (MECO) |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-7281-1740-9 |
| ISBN (Print) | 978-1-7281-1739-3 |
| DOIs | |
| State | Published - 2019 |
| Event | 8th Mediterranean Conference on Embedded Computing (MECO) - Budva, Montenegro Duration: 10 Jun 2019 → 14 Jun 2019 |
Conference
| Conference | 8th Mediterranean Conference on Embedded Computing (MECO) |
|---|---|
| Country | Montenegro |
| City | Budva |
| Period | 10/06/19 → 14/06/19 |
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IMACS : a framework for performance evaluation of image approximation in a closed-loop system. / Mohamed, Sajid; De, Sayandip; Bimpisidis, Konstantinos; Nathan, Vishak; Goswami, Dip; Corporaal, Henk; Basten, Twan.
8th Mediterranean Conference on Embedded Computing (MECO). Piscataway : Institute of Electrical and Electronics Engineers, 2019. 8760055.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - IMACS
T2 - a framework for performance evaluation of image approximation in a closed-loop system
AU - Mohamed,Sajid
AU - De,Sayandip
AU - Bimpisidis,Konstantinos
AU - Nathan,Vishak
AU - Goswami,Dip
AU - Corporaal,Henk
AU - Basten,Twan
PY - 2019
Y1 - 2019
N2 - Image Processing (IP) applications have become popular with the advent of efficient algorithms and low-cost CMOS cameras with high resolution. However, IP applications are compute-intensive, consume a lot of energy and have long processing times. Image approximation has been proposed by recent works for an energy-efficient design of these applications. It also reduces the impact of long processing times. The challenge here is that the IP applications often work as a part of bigger closed-loop control systems, e.g. advanced driver assistance system (ADAS). The impact of image approximations that tolerate certain error on these image-based control (IBC) systems is very important. However, there is a lack of tool support to evaluate the performance of such closed-loop IBC systems when the IP is approximated. We propose a framework - for both software-in-the-loop (SiL) and hardware-in-the-loop (HiL) simulation - for performance evaluation of image approximation on a closed-loop automotive IBC system (IMACS). Both simulation setups model the 3D environment in 3ds Max, and simulate the system dynamics, camera position and environment in V-REP. Our SiL setup simulates the system software in C++ or Matlab. Here, V-REP runs as a server and the software as a client in synchronous mode. Our HiL simulation setup runs the system software in the NVIDIA Drive PX2 platform and communicates to V-REP using application programming interfaces (APIs) for synchronous execution. We show the effectiveness of our framework using a vision-based lateral control example.
AB - Image Processing (IP) applications have become popular with the advent of efficient algorithms and low-cost CMOS cameras with high resolution. However, IP applications are compute-intensive, consume a lot of energy and have long processing times. Image approximation has been proposed by recent works for an energy-efficient design of these applications. It also reduces the impact of long processing times. The challenge here is that the IP applications often work as a part of bigger closed-loop control systems, e.g. advanced driver assistance system (ADAS). The impact of image approximations that tolerate certain error on these image-based control (IBC) systems is very important. However, there is a lack of tool support to evaluate the performance of such closed-loop IBC systems when the IP is approximated. We propose a framework - for both software-in-the-loop (SiL) and hardware-in-the-loop (HiL) simulation - for performance evaluation of image approximation on a closed-loop automotive IBC system (IMACS). Both simulation setups model the 3D environment in 3ds Max, and simulate the system dynamics, camera position and environment in V-REP. Our SiL setup simulates the system software in C++ or Matlab. Here, V-REP runs as a server and the software as a client in synchronous mode. Our HiL simulation setup runs the system software in the NVIDIA Drive PX2 platform and communicates to V-REP using application programming interfaces (APIs) for synchronous execution. We show the effectiveness of our framework using a vision-based lateral control example.
UR - http://www.es.ele.tue.nl/cps/automotive/#imacs
U2 - 10.1109/MECO.2019.8760055
DO - 10.1109/MECO.2019.8760055
M3 - Conference contribution
SN - 978-1-7281-1739-3
BT - 8th Mediterranean Conference on Embedded Computing (MECO)
PB - Institute of Electrical and Electronics Engineers
CY - Piscataway
ER -