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SSD
2009
Springer
149views Database» more  SSD 2009»
13 years 11 months ago
Analyzing Trajectories Using Uncertainty and Background Information
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
Bart Kuijpers, Bart Moelans, Walied Othman, Alejan...
IROS
2009
IEEE
192views Robotics» more  IROS 2009»
13 years 11 months ago
Kinodynamic motion planning for mobile robots using splines
— This paper presents an approach to time-optimal kinodynamic motion planning for a mobile robot. A global path planner is used to generate collision-free straight-line paths fro...
Boris Lau, Christoph Sprunk, Wolfram Burgard
ICRA
2009
IEEE
121views Robotics» more  ICRA 2009»
13 years 11 months ago
Real-time trajectory generation for car-like vehicles navigating dynamic environments
— This paper presents Tiji, a trajectory generation scheme, ie an algorithm that computes a feasible trajectory between a start and a goal state, for a given robotic system. Tiji...
Vivien Delsart, Thierry Fraichard, Luis Martinez
AVSS
2009
IEEE
13 years 11 months ago
Trajectory Association and Fusion across Partially Overlapping Cameras
We present a novel unsupervised inter-camera trajectory correspondence algorithm that does not require prior knowledge of the camera placement. The approach consists of three step...
Nadeem Anjum, Andrea Cavallaro
DASFAA
2010
IEEE
419views Database» more  DASFAA 2010»
13 years 11 months ago
Incremental Clustering for Trajectories
Trajectory clustering has played a crucial role in data analysis since it reveals underlying trends of moving objects. Due to their sequential nature, trajectory data are often rec...
Zhenhui Li, Jae-Gil Lee, Xiaolei Li, Jiawei Han