Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection

Author:

Kösel Michael1,Schreiber Marcel2,Ulrich Michael2,Gläser Claudius2,Dietmayer Klaus1

Affiliation:

1. Ulm University,Institute of Measurement, Control, and Microtechnology,Germany

2. Corporate Research,Robert Bosch GmbH,Renningen,Germany,71272

Publisher

IEEE

Reference31 articles.

1. Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

2. Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

3. A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks;Hendrycks

4. Enhancing the Reliability of Out-of-Distribution Image Detection in Neural Networks;Liang

5. Scaling Out-of-Distribution Detection for Real-World Settings;Hendrycks

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