Computational time reduction using detailed building models with Typical Short Sequences

Energy ◽  
2022 ◽  
pp. 123109
Author(s):  
Hasan Sayegh ◽  
Antoine Leconte ◽  
Gilles Fraisse ◽  
Etienne Wurtz ◽  
Simon Rouchier
Author(s):  
Yutaro Okamoto ◽  
◽  
Chinthaka Premachandra ◽  
Kiyotaka Kato

Automatic road obstacle detection is one of the significant problem in Intelligent Transport Systems (ITS). Many studies have been conducted for this interesting problem by using on-vehicle cameras. However, those methods still needs a dozens ofmillisecondsfor image processing. To develop the quick obstacle avoidance devices for vehicles, further computational time reduction is expected. Furthermore, regarding the applications, compact hardware is also expected for implementation. Thus, we study on computational time reduction of the road obstacle detection by using a small-type parallel image processor. Here, computational time is reduced by developing an obstacle detection algorithm which is appropriated to parallel processing concept of that hardware. According to the experimental evaluation of the new proposal, we could limit computational time for eleven milliseconds with a good obstacle detection performance.


2009 ◽  
Vol 2009 (0) ◽  
pp. _423-1_-_423-5_
Author(s):  
Youhei AZUMA ◽  
Kazuhiko ADACHI ◽  
Yu HASEGAWA ◽  
Atsushi FUJITA ◽  
Eiji KOHMURA

2018 ◽  
Vol 33 (1) ◽  
pp. 281-289 ◽  
Author(s):  
Bert Hannon ◽  
Peter Sergeant ◽  
Luc Dupre

2017 ◽  
Vol 105 ◽  
pp. 34-42
Author(s):  
Angel Martín Furones ◽  
Ana Belén Anquela Julián ◽  
Alejandro Dimas-Pages ◽  
Fernando Cos-Gayón

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