AFOcc: Multimodal Semantic Occupancy Prediction With Accurate Fusion
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3449349
Abstract: The 3-D scene perception technology enhances the safety and decision-making ability of autonomous vehicles by accurately acquiring and analyzing stereo information from the environment. Compared to traditional object detection methods, semantic occupancy perception offers greater… read more here.
Keywords: afocc; multimodal semantic; fusion; occupancy ... See more keywords
SfmOcc: Vision-Based 3D Semantic Occupancy Prediction in Urban Environments
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3557227
Abstract: Semantic scene understanding is crucial for autonomous systems and 3D semantic occupancy prediction is a key task since it provides geometric and possibly semantic information of the vehicle's surroundings. Most existing vision-based approaches to occupancy… read more here.
Keywords: vision based; occupancy; prediction; occupancy prediction ... See more keywords
MS-Occ: Multi-Stage LiDAR-Camera Fusion for 3D Semantic Occupancy Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3632759
Abstract: Accurate 3D semantic occupancy perception is essential for autonomous driving in complex environments with diverse and irregular objects. While vision-centric methods suffer from geometric inaccuracies, LiDAR-based approaches often lack rich semantic information. To address these… read more here.
Keywords: module; fusion; stage; camera ... See more keywords