This paper presents our work-in-progress study on reference architectures as boundary objects for realizing trustworthy collaborative Cyber-Physical systems (CPS). Furthermore, the preliminary results from interviews ...
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This paper presents a control approach allowing a tight integration of several driver assistance functions in automotive vehicles, including front steering, differential braking and autonomous emergency braking. The g...
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ISBN:
(数字)9781665406734
ISBN:
(纸本)9781665406741
This paper presents a control approach allowing a tight integration of several driver assistance functions in automotive vehicles, including front steering, differential braking and autonomous emergency braking. The goal is to support a more effective collision avoidance with necessary emergency maneuvers during automated driving, while avoiding situations with a high risk of undesired vehicle instability due to separated steering and braking actions. The approach adopts a Model Predictive control (MPC) based methodology using a set of performance indexes calculated according to the actual time to collision, braking and steering capabilities. The effectiveness of the proposed methodology is evaluated in a simulation on MATLAB/Simulink.
In this paper, we tackle the problem of trajectory planning and control of a vehicle under locally varying traction limitations, in the presence of suddenly appearing obstacles. We employ concepts from adaptive model ...
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