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DRIVING LANE PERCEPTION DIVERSITY AND REDUNDANCY IN AUTONOMOUS DRIVING APPLICATIONS
DRIVING LANE PERCEPTION DIVERSITY AND REDUNDANCY IN AUTONOMOUS DRIVING APPLICATIONS
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机译：自主驾驶应用中的驾驶通道感知多样性和冗余
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摘要
In various examples, a path perception ensemble is used to produce a more accurate and reliable understanding of a driving surface and/or a path there through. For example, an analysis of a plurality of path perception inputs provides testability and reliability for accurate and redundant lane mapping and/or path planning in real-time or near real-time. By incorporating a plurality of separate path perception computations, a means of metricizing path perception correctness, quality, and reliability is provided by analyzing whether and how much the individual path perception signals agree or disagree. By implementing this approach - where individual path perception inputs fail in almost independent ways - a system failure is less statistically likely. In addition, with diversity and redundancy in path perception, comfortable lane keeping on high curvature roads, under severe road conditions, and/or at complex intersections, as well as autonomous negotiation of turns at intersections, may be enabled.
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