Towards Compact Autonomous Driving Perception With Balanced Learning and Multi-Sensor Fusion
We present a novel compact deep multi-task learning model to handle various autonomous driving perception tasks in one forward pass. The model performs multiple views of semantic segmentation, depth estimation, light detection and ranging (LiDAR) segmentation, and bird’s eye view projection sim...
| Main Authors: | , |
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| Format: | Other |
| Language: | English |
| Published: |
IEEE Transactions on Intelligent Transportation Systems
2022
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/284291/1/178.Towards_Compact_Autonomous_Driving_Perception_With_Balanced_Learning_and_Multi-Sensor_Fusion.pdf |