Title
Multi-Scale Code Generation for Simulation-Driven Rapid ADAS Prototyping: the SMELT Approach
Abstract
Advanced Driver Assistance Systems (ADAS) matured into comprehensive hardware/software applications with exploding complexity. Various simulation-driven techniques emerged to facilitate their development, e.g., model-based design, driving simulators and virtual platforms. Moreover, multi-domain co-simulation standards arose to join such technologies and achieve fully virtual ADAS prototyping. Built upon these concepts, this paper presents the Static Multi-scale Export Layer Tool (SMELT), a retargetable “one-click” ADAS code generation facility. SMELT accelerates ADAS design space exploration by ensuring continuous refinement from the highest-level model representation down to embedded production code generation. To highlight its advantages, an ADAS library was rapidly prototyped using SMELT. Lastly, algorithmic and system-level analyses are presented, alongside simulation performance evaluation.
Year
DOI
Venue
2018
10.1109/ICVES.2018.8519593
2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)
Keywords
Field
DocType
Multi-Scale Code Generation,Model-Based ADAS Design,Driving Simulators,Virtual Platforms,Multi-Domain Co-Simulation
Model representation,Systems engineering,Task analysis,Advanced driver assistance systems,Code generation,Control engineering,Software,Engineering,Design space exploration
Conference
ISBN
Citations 
PageRank 
978-1-5386-3544-5
0
0.34
References 
Authors
5
4
Name
Order
Citations
PageRank
Robert Lajos Bucs152.86
Marcel Heistermann200.34
Rainer Leupers31389136.48
Gerd Ascheid41205144.76