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Titel:

Offline Dynamic Grid Generation for Automotive Environment Perception Using Temporal Inference Methods

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Ye, Egon; Würsching, Gerald; Steyer, Sascha; Althoff, Matthias
Abstract:
The validation of online perception algorithms in automotive systems requires a large amount of ground-truth data. Since manual labeling is inefficient and error-prone, an automatic generation of accurate and reliable reference data is desirable. We present a post-processing approach based on a particlebased dynamic occupancy grid representation of the environment. In contrast to existing online dynamic grid algorithms, our estimation additionally utilizes future measurements by applying offline...     »
Zeitschriftentitel:
IEEE Robotics and Automation Letters
Jahr:
2021
Volltext / DOI:
doi:10.1109/LRA.2021.3067590
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