Methods, equipment, and vehicles for autonomous vehicle behavior decision-making and model building
By constructing a graph-based autonomous driving decision-making model and optimizing the decision-making process using Bayesian networks, the problems of low accuracy and efficiency in driving behavior decision-making in existing technologies are solved, achieving more efficient and safer driving behavior decision-making.
CN116306264BActive Publication Date: 2026-05-26BEIJING BAIDU NETCOM SCI & TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING BAIDU NETCOM SCI & TECH CO LTD
- Filing Date
- 2023-02-24
- Publication Date
- 2026-05-26
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Figure CN116306264B_ABST
Abstract
This disclosure provides a method, device, and vehicle for autonomous vehicle behavior decision-making and model building, relating to the field of artificial intelligence technology, specifically autonomous driving, decision planning, and other technical fields. The autonomous vehicle behavior decision-making method includes: acquiring a pre-built behavior decision model, the behavior decision model including: a network structure and network parameters, the network structure including network nodes, the network nodes including behavior nodes and candidate state variable nodes; based on the network structure, determining a target state variable node for the behavior node from the candidate state variable nodes, and acquiring the current observation value of the target state variable node; based on the network parameters, acquiring the conditional probability of a candidate behavior under the current observation value; and based on the conditional probability, determining a target behavior from the candidate behaviors. This disclosure can improve the accuracy and efficiency of driving behavior decision-making.
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