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Journal ArticleDOI

Fusion of 3D-LIDAR and camera data for scene parsing

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TLDR
An approach which performs scene parsing and data fusion for a 3D-LIDAR scanner (Velodyne HDL-64E) and a video camera and the fused results are more reliable than that acquired via analysis of only images or Velodyne data.
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This article is published in Journal of Visual Communication and Image Representation.The article was published on 2014-01-01. It has received 54 citations till now. The article focuses on the topics: Sensor fusion & Video camera.

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Citations
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Journal ArticleDOI

Perception, Planning, Control, and Coordination for Autonomous Vehicles

TL;DR: In this paper, the authors provide a general overview of the recent developments in the realm of autonomous vehicle software systems, and discuss the fundamental components of the software, as well as recent developments of each area.
Journal ArticleDOI

A survey on multi-sensor fusion based obstacle detection for intelligent ground vehicles in off-road environments

TL;DR: The main considerations for the onboard multi-sensor configuration of intelligent ground vehicles in the off-road environments are summarized, providing users with a guideline for selecting sensors based on their performance requirements and application environments.
Journal ArticleDOI

A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas

TL;DR: A comprehensive survey of urban applications and key techniques based on MLS point clouds is conducted, including classification methods, object recognition, data registration, data fusion, and 3D city modeling.
Proceedings ArticleDOI

Car detection for autonomous vehicle: LIDAR and vision fusion approach through deep learning framework

TL;DR: This paper proposes a LIDAR and vision fusion system for car detection through the deep learning framework which is able to generate high quality proposal boxes more efficiently and detect the car at the state of the art accuracy.
Journal ArticleDOI

A Review of Research on Traffic Conflicts Based on Intelligent Vehicles

TL;DR: This paper summarizes the existing researches on traffic conflicts from the perspective of intelligent vehicles, and expounds that the perception technology of intelligent Vehicles can be divided into three main categories, namely, the perceptionTechnology, the communication technology, and the fusion of perception-communication technology.
References
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Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI

Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
Proceedings ArticleDOI

Are we ready for autonomous driving? The KITTI vision benchmark suite

TL;DR: The autonomous driving platform is used to develop novel challenging benchmarks for the tasks of stereo, optical flow, visual odometry/SLAM and 3D object detection, revealing that methods ranking high on established datasets such as Middlebury perform below average when being moved outside the laboratory to the real world.
Book

Probabilistic graphical models : principles and techniques

TL;DR: The framework of probabilistic graphical models, presented in this book, provides a general approach for causal reasoning and decision making under uncertainty, allowing interpretable models to be constructed and then manipulated by reasoning algorithms.
Journal ArticleDOI

An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller

TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.
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