An Improved Multi-Object Adaptive Cruise Control Approach
Autor: | Frank Schrödel, Norman Schwarz, Patrick Herrmann |
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Rok vydání: | 2019 |
Předmět: |
Structure (mathematical logic)
0209 industrial biotechnology business.industry Computer science 020208 electrical & electronic engineering Control (management) Automotive industry Control engineering 02 engineering and technology Object (computer science) 020901 industrial engineering & automation Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Boulevard business Cruise control Selection (genetic algorithm) |
Zdroj: | IFAC-PapersOnLine. 52:176-181 |
ISSN: | 2405-8963 |
DOI: | 10.1016/j.ifacol.2019.08.067 |
Popis: | Developments regarding driver assistant systems are one of the most active fields of research and development within the automotive industry. In the present paper, a longitudinal vehicle guidance concept for a multi-object Adaptive Cruise Control (ACC) will be introduced. The goal is to design a reliable, computationally efficient and intuitive approach for ACC which maximizes the drivers comfort in dense traffic conditions. Development of the control structure, as well as the target selection approach, are the central aspects of the paper. The results are verified with measurement data from test drives on the Boulevard Peripherique in Paris. |
Databáze: | OpenAIRE |
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