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Titlebook: Cooperatively Interacting Vehicles; Methods and Effects Christoph Stiller,Matthias Althoff,Frank Flemisch Book‘‘‘‘‘‘‘‘ 2024 The Editor(s)

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11#
發(fā)表于 2025-3-23 12:44:48 | 只看該作者
Interaction-Aware Motion Planning as a Gamesting works, the algorithm can account for general nonlinear state and input constraints. Further, we introduce mechanisms to integrate cooperation and courtesy into motion planning to prevent overly aggressive driving behavior.
12#
發(fā)表于 2025-3-23 16:01:34 | 只看該作者
13#
發(fā)表于 2025-3-23 19:51:37 | 只看該作者
14#
發(fā)表于 2025-3-23 22:39:23 | 只看該作者
AutoKnigge—Modeling, Evaluation and Verification of Cooperative Interacting Automobilesa verification method for the cooperatively planned trajectories within a LTS. The verification guarantees collision avoidance and deadlock-freeness in real-time. Finally we introduce a model language based on MontiArc to enable a systematic representation and description of the presented concepts for grouping, cooperation and interaction.
15#
發(fā)表于 2025-3-24 06:13:58 | 只看該作者
16#
發(fā)表于 2025-3-24 10:22:06 | 只看該作者
17#
發(fā)表于 2025-3-24 11:05:46 | 只看該作者
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence as a Basis for Automacially in urban areas, VRUs, e.g., pedestrians and cyclists, will continue to play an essential role in mixed traffic. For an accident-free and highly efficient traffic flow with automated vehicles, it is vital to perceive VRUs and their intentions and analyze them similarly to humans when driving a
18#
發(fā)表于 2025-3-24 16:15:01 | 只看該作者
19#
發(fā)表于 2025-3-24 22:48:55 | 只看該作者
20#
發(fā)表于 2025-3-25 00:20:47 | 只看該作者
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