Tesis doctoral de Jorge Sans Sangorrin
This dissertation takes part of current research and development activities aimed to implement future and innovative safety related and advanced driver assistance applications that use vehicle surround sensing systems. In this research, algorithms that compute information to assess whether an accident may happen, i.E. Prior to impact, have been developed and implemented, while taking the functional requirements of the applications into account. These algorithms can be used to implement pre-crash applications which are aimed to predict crashes, in order to allow activation of vehicle safety measures for reducing damages in road accidents. By making use of information about the vehicle surroundings provided by a sensing system, the approach implemented in this research allows the pre-crash system to track objects and perform predictions of crashes at the vehicle front. Impending frontal crashes can be detected and, in such cases, closing-velocity, time-to-impact and impact location estimates are computed. Algorithms have been properly implemented with a round-off to integer, satisfying the restrictions in terms of computational resources. Experiments are carried out in typical scenarios for validation of pre-crash applications using a sensing system consisting on two short range radars mounted in the vehicle front. Relevant contributions to internal projects at robert bosch gmbh, as well as to european projects with the goal of reducing road fatalities, which is a major concern of the european commission, have been provided.
Datos académicos de la tesis doctoral «Tracking algorithms for pre crash systems using range only measurements«
- Título de la tesis: Tracking algorithms for pre crash systems using range only measurements
- Autor: Jorge Sans Sangorrin
- Universidad: Jaume i de castellón
- Fecha de lectura de la tesis: 24/11/2006
Dirección y tribunal
- Director de la tesis
- Lopez Orti José Antonio
- Tribunal
- Presidente del tribunal: regino Criado herrero
- Alberto Broggi (vocal)
- Francisco Toledo lobo (vocal)
- soren Kammel (vocal)