Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames

Author:

Sarcinelli Renan,Guidolini Rânik,B. Cardoso Vinicius,M. Paixão Thiago,F. Berriel Rodrigo,Azevedo Pedro,F. De Souza Alberto,Badue Claudine,Oliveira-Santos ThiagoORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference44 articles.

1. Badue C, Guidolini R, Carneiro RV, Azevedo P, Cardoso VB, Forechi A, Jesus LFR, Berriel RF, Paixão TM, Mutz F, et al. Self-driving cars: a survey, arXiv:190104407; 2019.

2. Exploiting lidar-based features on pedestrian detection in urban scenarios;Premebida,2009

3. Pedestrian detection at 100 frames per second;Benenson,2012

4. Handling pedestrians in crosswalks using deep neural networks in the IARA autonomous car;Guidolini,2018

5. Scale-aware fast r-CNN for pedestrian detection;Li;IEEE Trans Multimed,2017

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