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Toward Accurate Road Detection in Challenging Environments Using 3D Point Clouds
Jaemin Byun
Beom-Su Seo
Jihong Lee
2015년
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도
공유도
영향력
논문상세정보
저자
Jaemin Byun
Beom-Su Seo
Jihong Lee
주제어
3D LiDAR sensor
3D point clouds
Intelligent vehicle
MRF model
Road detection
참고문헌( 25)
유사주제 논문( 5,612)
공학, 공업일반 5,594건
intelligent vehicle 15건
road detection 2건
3d point clouds 1건
인용/피인용
Toward Accurate Road Detection in Challenging E ...
' Toward Accurate Road Detection in Challenging Environments Using 3D Point Clouds' 의 주제별 논문영향력
논문영향력 요약
주제
공학, 공업일반
3d lidar sensor
3d point clouds
intelligent vehicle
mrf model
road detection
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
5,601
0
0.0%
자세히
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제분류(KDC/DDC)
공학, 공업일반
5,595
0
0.0%
주제어
3d lidar sensor
1
0
0.0%
3d point clouds
2
0
0.0%
intelligent vehicle
16
0
0.0%
mrf model
1
0
0.0%
road detection
3
0
0.0%
계
5,618
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
닫기
' Toward Accurate Road Detection in Challenging Environments Using 3D Point Clouds'
의 참고문헌
The DARPA Urban Challenge: Autonomous Vehicles in City Traffic vol. 56
M. Buehler
Springer
[2009]
Terrain Mapping for Off-Road Autonomous Ground Vehicles Using Rational B-Spline Surfaces and Stereo Vision
Broggi, A.
Cardarelli, E.
Cattani, S.
Sabbatelli, M.
IEEE Intell. Vehicles Symp. : 648 ~ 653
[2013]
Simplified Markov Random Fields for Efficient Semantic Labeling of 3D Point Clouds
Y. Lu
IEEE/RSJ Int. Conf. Intell. Robots Syst 7 (12) : 2690 ~ 2697
[2012]
Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments
R.B. Rusu
KI-Künstliche Intelligenz 24 (4) : 345 ~ 348
[2010]
Segmentation of 3D Lidar Data in Non-flat Urban Environments Using a Local Convexity Criterion
F. Moosmann
IEEE Intell. Vehicles Symp. : 215 ~ 220
[2009]
Robust Ground Plane Detection from 3D Point Clouds
S. Choi
Int. Conf. Contr., Autom. Syst : 1076 ~ 1081
Real-Time Road Detection in 3D Point Clouds Using Four Directions Scan Line Gradient Criterion
M. Li
Future : 5 ~
[2009]
On the Segmentation of 3D LiDAR Point Clouds
B. Douillard
IEEE Int. Conf. Robot. Autom. : 2798 ~ 2805
[2011]
OPRoS: A New Component-Based Robot Software Platform
C. Jang
ETRI J. 32 (5) : 646 ~ 656
[2010]
Little Ben: The Ben Franklin Racing Team’s Entry in the 2007 Darpa Urban Challenge
J. Bohren
J. Field Robot 25 (9) : 598 ~ 614
[2008]
Learning Occupancy Grid Maps with Forward Sensor Models
S. Thrun
Auton. Robots 15 (2) : 111 ~ 127
[2003]
Lazy Snapping
Y. Li
ACM Trans. Graph 23 (3) : 303 ~ 308
[2004]
LIBSVM: a library for support vector machines
C.-C. Chang
ACM Trans. Intell. Syst. Technol. 2 (3) : 1 ~ 27
Junior : the stanford entry in the urban challenge
M. Montemerlo
J. Field Robot 25 (9) : 569 ~ 597
[2008]
Graph-Based 2D Road Representation of 3D Point Clouds for Intelligent Vehicles
Guo, C.
Han, L.
McAllester, D.
Mita, S.
Sato, W.
IEEE Intell. Vehicles Symp. : 715 ~ 721
[2011]
Fast Segmentation of 3D Point Clouds for Ground Vehicles
M. Himmelsbach
IEEE Intell. Vehicles Symp. : 560 ~ 565
[2010]
Efficient Belief Propagation for Early Vision
P.F. Felzenszwalb
Int. J. Comput. Vis. 70 (1) : 41 ~ 54
[2006]
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
D. Anguelov
IEEE Comput. Vis. Pattern Recogn 2 : 169 ~ 176
[2005]
Calibration of a Rotating Multibeam Lidar
N. Muhammad
IEEE/RSJ Int. Conf. Intell. Robots Syst. : 5648 ~ 5653
[2010]
Autonomous driving in urban environments : boss and the urban challenge
C. Urmson
J. Field Robot. 25 (8) : 425 ~ 466
[2008]
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
Y. Boykov
IEEE Trans. Pattern Anal. Mach. Intell. 26 (9) : 1124 ~ 1137
[2004]
An Efficient Formulation of the Bayesian Occupation Filter for Target Tracking in Dynamic Environments
M. Tay
Int. J. Vehicle Auton. Syst. 6 (1) : 155 ~ 171
[2008]
A Perception-Driven Autonomous Urban Vehicle
J. Leonard
J. Field Robot 25 (10) : 727 ~ 774
[2008]
A Clustering Method for Efficient Segmentation of 3D Laser Data
K. Klasing
IEEE Int. Conf. Robot. Autom. : 4043 ~ 4048
[2008]
3D is here: Point Cloud Library (PCL)
R.B. Rusu
IEEE Int. Conf. Robot. Autom. : 1 ~ 14
[2011]
' Toward Accurate Road Detection in Challenging Environments Using 3D Point Clouds'
의 유사주제(
) 논문