Autonomous driving paper index
Scientific design of complex multi‐agent systems: A practice modeling approach
One-line summary
An autonomous driving research paper: Scientific design of complex multi‐agent systems: A practice modeling approach.
Engineering notes
Key topics: autonomous driving, control. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Abstract Through advances in computing power, sensor systems, networking, and AI programming, new automated systems are being developed with capabilities for acting in the world that heretofore only people could do—driving automobiles, controlling aircraft systems, delivering packages. As we give computer programs control of complicated vehicles and devices, we need new tools to create and analyze designs systemically, to anticipate and understand how people and machines will behave and interact in safety‐critical situations—when action may be urgent and lives at stake. To secure the trust of consumers and certification by regulators, engineers need to adopt scientific design methods to verify that the behavior of instruments, devices, and programs fits how people perceive, reason, and act in challenging situations.
Links and sources
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