Cited by 191Autonomous Vehicle Technology and SafetyAdvanced Vision and ImagingVehicle Dynamics and Control Systems

End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners

Open access
Hecker, Simon, Dai, Dengxin, Van Gool, Luc·2018·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-030-01234-2_27

Cites

82 of 82 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Hecker, S., Dai, D., & Van Gool, L.
Affiliations
ETH Zurich (CH)
Corresponding author
Hecker, Simon
Venue
Lecture Notes in Computer Science
Published
2018
Pages
449-468
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2887286974
Cited by
191
References
82
Citations by year
2026: 5 · 2025: 12 · 2024: 21 · 2023: 16 · 2022: 27 · 2021: 36 · 2020: 39 · 2019: 33 · 2018: 2
FWCI
28.20
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes in computer science (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Repository for Publications and Research Data (ETH Zurich) (submittedVersion, other-oa)
  • arXiv (Cornell University)
  • ETH Zürich Research Collection
Funders
  • Nvidia
  • Toyota Motor Europe
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
  • Physical Sciences › Engineering › Automotive Engineering › Vehicle Dynamics and Control Systems
Keywords
driving model, surround-view cameras, route planning, autonomous driving, driving data, steering angle prediction, OpenStreetMap, CAN bus, urban driving, intersection scenarios

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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