TY - JOUR
T1 - A priority-driven optimal guidance approach to moving target tracking for safe navigation in a narrow space
AU - Biswas, Karnika
AU - Kar, Indrani
AU - Feron, Eric
N1 - KAUST Repository Item: Exported on 2021-07-01
Acknowledgements: The authors are immensely thankful to Mark Mote, Georgia Institute of Technology, for his unconditional help regarding the revision of this manuscript.
PY - 2021/6/29
Y1 - 2021/6/29
N2 - This paper presents an ‘optimally designed’ anti-collision trajectory plan suitable for moving target tracking in narrow spaces like corridors, aisles, etc. Narrow spaces constitute of highly constrained reachable states in the context of dynamic motion. Tracking is the default mode, while the safe trajectory is triggered on a priority-basis. The optimal switching point plays a key role in preventing a possible collision due to a ‘mis-timed’ change of manoeuvre, in case the obstacle shows unanticipated motion. Moreover, it also ensures that tracking is resumed at a point which minimises tracking error under the said deviation from the desired path. A smoothening filter has been proposed to make seamless transitions at the switching points.
AB - This paper presents an ‘optimally designed’ anti-collision trajectory plan suitable for moving target tracking in narrow spaces like corridors, aisles, etc. Narrow spaces constitute of highly constrained reachable states in the context of dynamic motion. Tracking is the default mode, while the safe trajectory is triggered on a priority-basis. The optimal switching point plays a key role in preventing a possible collision due to a ‘mis-timed’ change of manoeuvre, in case the obstacle shows unanticipated motion. Moreover, it also ensures that tracking is resumed at a point which minimises tracking error under the said deviation from the desired path. A smoothening filter has been proposed to make seamless transitions at the switching points.
UR - http://hdl.handle.net/10754/669849
UR - https://www.tandfonline.com/doi/full/10.1080/00207721.2021.1941395
U2 - 10.1080/00207721.2021.1941395
DO - 10.1080/00207721.2021.1941395
M3 - Article
SN - 0020-7721
SP - 1
EP - 16
JO - International Journal of Systems Science
JF - International Journal of Systems Science
ER -