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The Golem Group/University of California at Los Angeles autonomous ground vehicle in the DARPA grand challenge

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/apmc.1988.051620106openalex-snapshot
Die wichtigsten polymerphysikalischen Aspekte des Polycarbonats
inferredcites →https://doi.org/10.1109/70.508439openalex-snapshot
Probabilistic roadmaps for path planning in high-dimensional configuration spaces
inferredcites →https://doi.org/10.1109/cvpr.2006.213openalex-snapshot
Off-road Path Following using Region Classification and Geometric Projection Constraints
inferredcites →https://doi.org/10.1109/ivs.2000.898339openalex-snapshot
Driving autonomously off-road up to 35 km/h
inferredcites →https://doi.org/10.1109/ivs.2005.1505088openalex-snapshot
Dense stereo matching in restricted disparity space
inferredcites →https://doi.org/10.1109/robot.2002.1014439openalex-snapshot
Combining laser range, color, and texture cues for autonomous road following
inferredcites →https://doi.org/10.1115/1.3658902openalex-snapshot
New Results in Linear Filtering and Prediction Theory
inferredcites →https://doi.org/10.1115/1.3662552openalex-snapshot
A New Approach to Linear Filtering and Prediction Problems
inferredcites →https://doi.org/10.1117/12.474442openalex-snapshot
Army ground robotics research program
inferredcites →https://doi.org/10.1117/12.474463openalex-snapshot
Road detection and tracking for autonomous mobile robots
inferredcites →https://doi.org/10.1117/12.486843openalex-snapshot
Army ground robotics research program
inferredcites →https://doi.org/10.1145/1088348.1088349openalex-snapshot
Darcs
inferredcites →https://doi.org/10.2514/2.4856openalex-snapshot
Real-Time Motion Planning for Agile Autonomous Vehicles

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-0-85729-772-3_4openalex-snapshot
Development of the NaviGator for the 2007 DARPA Urban Challenge
inferred← citeshttps://doi.org/10.1007/978-3-032-02705-4_12openalex-snapshot
Autonomous Navigation in Urban Scenarios: From Street Driving to Last-Mile Delivery
inferred← citeshttps://doi.org/10.1007/978-3-319-33681-7_77openalex-snapshot
Using Visual Lane Detection to Control Steering in a Self-driving Vehicle
inferred← citeshttps://doi.org/10.1007/978-3-642-03991-1_5openalex-snapshot
A Perception-Driven Autonomous Urban Vehicle
inferred← citeshttps://doi.org/10.1109/icarsc.2018.8374172openalex-snapshot
Presenting BLUE: A robot for localization in unstructured environments
inferred← citeshttps://doi.org/10.1109/iccnit.2011.6020938openalex-snapshot
A sensor based robotic model for vehicle collision reduction
inferred← citeshttps://doi.org/10.1109/isda.2010.5687267openalex-snapshot
Road trajectory mining and autonomous steering control for vision-based unmanned vehicles
inferred← citeshttps://doi.org/10.17979/spudc.9788497497565.0372openalex-snapshot
CLEAR. Un módulo para la robotización de máquinas Ackermann
inferred← citeshttps://doi.org/10.2514/1.33342openalex-snapshot
Team Gator Nation's Autonomous Vehicle Development for the 2007 DARPA Urban Challenge
inferred← citeshttps://doi.org/10.2514/6.2008-7166openalex-snapshot
Motion Planning in Complex Environments Using Closed-loop Prediction
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