Abstract

Vehicle automation is one of the major challenges of nowadays’ transport system and its goals are to achieve the ideal energy efficiency, the minimum environment impact and the highest safety rate. In this context, IoSense is the project which will deploy new capabilities (Sensors, Components and Systems) through several demonstrators, one of them called “SmaBility” (Smart Mobility scenarios). So, the intelligent perception and decision making for safer and autonomous driving are the main objectives of the SmaBility demonstrator focus on the “Automated parking”. Then this chapter firstly lists the capabilities in the design, modelling and simulation area of each partner (TECNALIA, IFAT and VIF) involved on the title “From Parking Assistance to Automated Parking” within the Smability. In a second stage, several simulations considering a Time-of-Flight (ToF) camera, as the main perception technology, are explained at both levels: Sensor (ToF) and System (Automated parking). In parking assistance scenario (system level), a ToF camera, similar to the previous one analysed at sensor level, is considered as substitute for ultrasonic range sensors. The expected advantages of using such camera include faster answer, better resolution and object recognition capabilities. Combining depth information with a vehicle geometry model and ego-information (position, speed, steering angle), it is possible to estimate distance to collision point and time to collision (TTC) with great accuracy. Finally, summary and conclusions are reported. H2020 | ECSEL-IA, 692480, IoSense


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-030-16577-2_12 under the license http://www.springer.com/tdm
http://dsp.tecnalia.com/handle/11556/829,
https://academic.microsoft.com/#/detail/2953753065
Back to Top

Document information

Published on 01/01/2019

Volume 2019, 2019
DOI: 10.1007/978-3-030-16577-2_12
Licence: Other

Document Score

0

Views 0
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?