Proceedings ArticleDOI
Towards fully autonomous driving: Systems and algorithms
Jesse Levinson,Jake Askeland,Jan Becker,Jennifer Dolson,David Held,Soeren Kammel,J. Zico Kolter,Dirk Langer,Oliver Pink,Vaughan R. Pratt,Michael Sokolsky,Ganymed Stanek,David Stavens,Alex Teichman,Moritz Werling,Sebastian Thrun +15 more
- pp 163-168
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TLDR
In order to achieve autonomous operation of a vehicle in urban situations with unpredictable traffic, several realtime systems must interoperate, including environment perception, localization, planning, and control.Abstract:
In order to achieve autonomous operation of a vehicle in urban situations with unpredictable traffic, several realtime systems must interoperate, including environment perception, localization, planning, and control. In addition, a robust vehicle platform with appropriate sensors, computational hardware, networking, and software infrastructure is essential.read more
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Posted Content
Concrete Problems in AI Safety
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Journal ArticleDOI
A Review of Motion Planning Techniques for Automated Vehicles
TL;DR: A review of motion planning techniques implemented in the intelligent vehicles literature, with a description of the technique used by research teams, their contributions in motion planning, and a comparison among these techniques is presented.
Proceedings ArticleDOI
Argoverse: 3D Tracking and Forecasting With Rich Maps
Ming-Fang Chang,Deva Ramanan,James Hays,John Lambert,Patsorn Sangkloy,Jasvinder A. Singh,Slawomir Bak,Andrew Hartnett,De Wang,Peter W. Carr,Simon Lucey +10 more
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Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis
TL;DR: This paper provides a review of the literature in on-road vision-based vehicle detection, tracking, and behavior understanding, and discusses the nascent branch of intelligent vehicles research concerned with utilizing spatiotemporal measurements, trajectories, and various features to characterize on- road behavior.
Journal ArticleDOI
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
TL;DR: The technical aspect of automated driving is surveyed, with an overview of available datasets and tools for ADS development and many state-of-the-art algorithms implemented and compared on their own platform in a real-world driving setting.
References
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