Journal ArticleDOI
Vision and navigation for the Carnegie-Mellon Navlab
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TLDR
A distributed architecture articulated around the CODGER (communication database with geometric reasoning) knowledge database is described for a mobile robot system that includes both perception and navigation tools.Citations
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Proceedings ArticleDOI
Dynamic data temporal multisensor fusion in the Prometheus ProLab2 demonstrator
M. Rombaut,D. Meizel +1 more
TL;DR: This paper deals with a temporal multisensor fusion module developed for the "ProLab 2" demonstrator of the Prometheus European program, used in a car to maintain a representation of the dynamic environment needed to inform the driver about possible collisions and risk.
Proceedings ArticleDOI
SHIVA: Simulated Highways for Intelligent Vehicle Algorithms
TL;DR: SHIVA (Simulated Highways for Intelligent Vehicle Algorithms) addresses deficiencies present in existing microscopic traffic simulators with: realistic sensor modeling; support for communicating vehicles; a variety of driver models; and efficient integration with real robots.
Posted Content
A Survey of Deep RL and IL for Autonomous Driving Policy Learning.
Zeyu Zhu,Huijing Zhao +1 more
TL;DR: In this paper, a comprehensive survey of deep reinforcement learning (DRL) and deep imitation learning (DIL) techniques for autonomous driving policy learning is presented, which is addressed simultaneously from the system, task-driven and problem-driven perspectives.
Proceedings ArticleDOI
Road markings recognition using image processing
TL;DR: In this article, a three-level road marking recognition algorithm is proposed for road markings recognition, which reduces the analysis area to the roadway and a road markings detection is performed in this area, leading to a polygonal representation of road markings; and the parameters to be transmitted to the repainting system are extracted.
Adaptive Intelligent Vehicle Modules for Tactical Driving
TL;DR: An evolutionary algorithm is used, termed Population-Based Incremental Learning, to automatically set each reasoning modules’ parameters, which allows to determine whether the combination of chosen modules is well suited for the desired task, enables the rapid integration of new modules into existing SAPIENT configurations, and provides a painless way to find good parameter settings.
References
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Journal ArticleDOI
Pattern Classification and Scene Analysis.
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Pattern classification and scene analysis
Richard O. Duda,Peter E. Hart +1 more
TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Book
A robust layered control system for a mobile robot
TL;DR: A new architecture for controlling mobile robots is described, building a robust and flexible robot control system that has been used to control a mobile robot wandering around unconstrained laboratory areas and computer machine rooms.
Journal ArticleDOI
A robust layered control system for a mobile robot
TL;DR: In this paper, a new architecture for controlling mobile robots is described, which is made up of asynchronous modules that communicate over low-bandwidth channels, each module is an instance of a fairly simple computational machine.
Journal ArticleDOI
A visual navigation system for autonomous land vehicles
A M Waxman,J. LeMoigne,Larry S. Davis,B. Srinivasan,Todd R. Kushner,Eli Liang,T. Siddalingaiah +6 more
TL;DR: A modular system architecture has been developed to support visual navigation by an autonomous land vehicle that consists of vision modules performing image processing, three-dimensional shape recovery, and geometric reasoning, as well as modules for planning, navigating, and piloting.