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ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
13 years 3 months ago
Trajectory prediction in cluttered voxel environments
Abstract— Trajectory planning and optimization is a fundamental problem in articulated robotics. It is often viewed as a two phase problem of initial feasible path planning aroun...
Nikolay Jetchev, Marc Toussaint
GIS
2010
ACM
13 years 3 months ago
Automatic construction and multi-level visualization of semantic trajectories
With the prevalence of GPS-embedded mobile devices, enormous amounts of mobility data are being collected in the form of trajectory - a stream of (x,y,t) points. Such trajectories...
Zhixian Yan, Lazar Spremic, Dipanjan Chakraborty, ...
GIS
2010
ACM
13 years 3 months ago
An algorithmic framework for segmenting trajectories based on spatio-temporal criteria
In this paper we address the problem of segmenting a trajectory such that each segment is in some sense homogeneous. We formally define different spatio-temporal criteria under ...
Maike Buchin, Anne Driemel, Marc J. van Kreveld, V...
SAC
2008
ACM
13 years 4 months ago
A clustering-based approach for discovering interesting places in trajectories
Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have...
Andrey Tietbohl Palma, Vania Bogorny, Bart Kuijper...
PVLDB
2008
82views more  PVLDB 2008»
13 years 4 months ago
TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering
Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-worl...
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hector Gonzal...
TSMC
2002
129views more  TSMC 2002»
13 years 4 months ago
A distributed robotic control system based on a temporal self-organizing neural network
A distributed robot control system is proposed based on a temporal self-organizing neural network, called competitive and temporal Hebbian (CTH) network. The CTH network can learn ...
Guilherme De A. Barreto, Aluizio F. R. Araú...
IJCV
2000
72views more  IJCV 2000»
13 years 4 months ago
Statistical Models of Object Interaction
We present a method for assessing the likelihoodof a trajectory of an object through a scene consisting of a number of other objects. The closest points on the trajectory to the o...
Richard J. Morris, David Hogg
AROBOTS
2002
132views more  AROBOTS 2002»
13 years 4 months ago
Feedforward and Feedback Dynamic Trot Gait Control for Quadruped Walking Vehicle
Abstract. To realize dynamically stable walking for a quadruped walking robot, the combination of the trajectory planning of the body and leg position (feedforward control) and the...
Ryo Kurazume, Kan Yoneda, Shigeo Hirose
TROB
2008
134views more  TROB 2008»
13 years 4 months ago
Improving the Performance of Sampling-Based Motion Planning With Symmetry-Based Gap Reduction
Sampling-based nonholonomic and kinodynamic planning iteratively constructs solutions with sampled controls. A constructed trajectory is returned as an acceptable solution if its &...
Peng Cheng, Emilio Frazzoli, Steven M. LaValle