-
公开(公告)号:US20230004164A1
公开(公告)日:2023-01-05
申请号:US17940664
申请日:2022-09-08
Applicant: NVIDIA Corporation
Inventor: Davide Marco Onofrio , Hae-Jong Seo , David Nister , Minwoo Park , Neda Cvijetic
Abstract: 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.
-
公开(公告)号:US20200249684A1
公开(公告)日:2020-08-06
申请号:US16781893
申请日:2020-02-04
Applicant: NVIDIA Corporation
Inventor: Davide Marco Onofrio , Hae-Jong Seo , David Nister , Minwoo Park , Neda Cvijetic
Abstract: 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.
-
公开(公告)号:US12051332B2
公开(公告)日:2024-07-30
申请号:US17940664
申请日:2022-09-08
Applicant: NVIDIA Corporation
Inventor: Davide Marco Onofrio , Hae-Jong Seo , David Nister , Minwoo Park , Neda Cvijetic
CPC classification number: G08G1/167 , G05D1/0088 , G05D1/0214 , G05D1/0219 , G05D1/0223 , G06F18/23 , G06N3/08 , G06V20/588
Abstract: 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.
-
公开(公告)号:US20240339035A1
公开(公告)日:2024-10-10
申请号:US18745370
申请日:2024-06-17
Applicant: NVIDIA Corporation
Inventor: Davide Marco Onofrio , Hae-Jong Seo , David Nister , Minwoo Park , Neda Cvijetic
CPC classification number: G08G1/167 , G06F18/23 , G06N3/08 , G06V20/588
Abstract: 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.
-
公开(公告)号:US11520345B2
公开(公告)日:2022-12-06
申请号:US16781893
申请日:2020-02-04
Applicant: NVIDIA Corporation
Inventor: Davide Marco Onofrio , Hae-Jong Seo , David Nister , Minwoo Park , Neda Cvijetic
Abstract: 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.
-
-
-
-