2021
Offline Dynamic Grid Generation for Automotive Environment Perception Using Temporal Inference Methods
RA-L 2021
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 part