The obstacle avoidance maneuver is required for an autonomous vehicle. It is essential to define the system's performance by evaluating the minimum reaction times of the vehicle and analyzing the probability of success of the avoiding operation. This paper presents a collision avoidance algorithm based on the velocity bstacle approach that guarantees collision-free maneuvers. The vehicle is controlled by an optimal feedback control named FLOP, designed to produce the best performance in terms of safety and minimum kinetic collision energy. Dimensionless accident evaluation parameters are proposed to compare different crash scenarios.
Car collision avoidance with velocity obstacle approach: Evaluation of the reliability and performace of the collision avoidance maneuver / Laurenza, Maicol; Pepe, Gianluca; Antonelli, Dario; Carcaterra, Antonio. - (2019), pp. 465-470. (Intervento presentato al convegno The International IEEE forum on research and technologies for society and industry(IEEE RTSI 2019) tenutosi a Firenze, Italy) [10.1109/RTSI.2019.8895525].
Car collision avoidance with velocity obstacle approach: Evaluation of the reliability and performace of the collision avoidance maneuver
Maicol Laurenza
;Gianluca Pepe;Dario Antonelli;Antonio Carcaterra
2019
Abstract
The obstacle avoidance maneuver is required for an autonomous vehicle. It is essential to define the system's performance by evaluating the minimum reaction times of the vehicle and analyzing the probability of success of the avoiding operation. This paper presents a collision avoidance algorithm based on the velocity bstacle approach that guarantees collision-free maneuvers. The vehicle is controlled by an optimal feedback control named FLOP, designed to produce the best performance in terms of safety and minimum kinetic collision energy. Dimensionless accident evaluation parameters are proposed to compare different crash scenarios.File | Dimensione | Formato | |
---|---|---|---|
Laurenza_Preprint_car-collision_2019.pdf
accesso aperto
Tipologia:
Documento in Pre-print (manoscritto inviato all'editore, precedente alla peer review)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
967.62 kB
Formato
Adobe PDF
|
967.62 kB | Adobe PDF | |
Laurenza_car-collision_2019.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
1.49 MB
Formato
Adobe PDF
|
1.49 MB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.