Corpus ID: 236447654

Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features

@article{Gomez2021DynamicAS,
  title={Dynamic and Static Object Detection Considering Fusion Regions and Point-wise Features},
  author={Andr'es G'omez and Thomas Genevois and J{\'e}r{\^o}me Lussereau and Christian Laugier},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12692}
}
Object detection is a critical problem for the safe interaction between autonomous vehicles and road users. Deeplearning methodologies allowed the development of object detection approaches with better performance. However, there is still the challenge to obtain more characteristics from the objects detected in real-time. The main reason is that more information from the environment’s objects can improve the autonomous vehicle capacity to face different urban situations. This paper proposes a… Expand

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