TY  - Type of reference 
TI  - Path planning with fractional potential fields for autonomous vehicles 
AU  - Julien Moreau 
AU  - Pierre Melchior 
AU  - Stéphane Victor 
AU  - Mathieu Moze 
AU  - François Aioun 
AU  - Franck Guillemard 
AB  - Path planning is an essential stage for mobile robot control. It is more newsworthy than ever in the automotive context and especially for autonomous vehicle. Also, path planning methods need to be adaptive regarding life situations, traffic and obstacle crossing. In this paper, potential field methods are proposed to cope with these constraints and autonomous vehicles are considered equipped with all necessary sensors for obstacle detection. In this way, Ge&Cui’s attractive potential field and fractional attractive potential field have been adapted to the context of autonomous vehicles.
In this way, this latter method ensures better stability degree robustness with controlled vehicle acceleration. 
DO  - 10.21494/ISTE.OP.2018.0282 
JF  - Control 
KW  - Path planning,  automotive,  autonomous vehicle,  potential field,  fractional potential field,  Champs de potentiel, Planification de trajectoire,  automobile,  véhicule autonome,  champs de potentiel fractionnaire,  
L1  - https://openscience.fr/IMG/pdf/iste_auto18v2n1_3.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2018/08/28 
SN  - 2631-4924 
TT  - Planification de trajectoire par champs de potentiel fractionnaires appliquée au véhicule autonome 
UR  - https://openscience.fr/Path-planning-with-fractional-potential-fields-for-autonomous-vehicles 
IS  - Issue 1 
VL  - 2 
ER  -