Deep depth completion from extremely sparse data: A survey
Depth completion aims at predicting dense pixel-wise depth from an extremely sparse map
captured from a depth sensor, eg, LiDARs. It plays an essential role in various applications …
captured from a depth sensor, eg, LiDARs. It plays an essential role in various applications …
Transfuser: Imitation with transformer-based sensor fusion for autonomous driving
How should we integrate representations from complementary sensors for autonomous
driving? Geometry-based fusion has shown promise for perception (eg, object detection …
driving? Geometry-based fusion has shown promise for perception (eg, object detection …
Multi-modal fusion transformer for end-to-end autonomous driving
How should representations from complementary sensors be integrated for autonomous
driving? Geometry-based sensor fusion has shown great promise for perception tasks such …
driving? Geometry-based sensor fusion has shown great promise for perception tasks such …
Transcg: A large-scale real-world dataset for transparent object depth completion and a gras** baseline
Transparent objects are common in our daily life and frequently handled in the automated
production line. Robust vision-based robotic gras** and manipulation for these objects …
production line. Robust vision-based robotic gras** and manipulation for these objects …
Costdcnet: Cost volume based depth completion for a single rgb-d image
Successful depth completion from a single RGB-D image requires both extracting plentiful
2D and 3D features and merging these heterogeneous features appropriately. We propose …
2D and 3D features and merging these heterogeneous features appropriately. We propose …
Analyzing infrastructure lidar placement with realistic lidar simulation library
Recently, Vehicle-to-Everything (V2X) cooperative perception has attracted increasing
attention. Infrastructure sensors play a critical role in this research field; however, how to find …
attention. Infrastructure sensors play a critical role in this research field; however, how to find …
Optimizing the Placement of Roadside LiDARs for Autonomous Driving
Multi-agent cooperative perception is an increasingly popular topic in the field of
autonomous driving, where roadside LiDARs play an essential role. However, how to …
autonomous driving, where roadside LiDARs play an essential role. However, how to …
Recent advances in conventional and deep learning-based depth completion: A survey
Depth completion aims to recover pixelwise depth from incomplete and noisy depth
measurements with or without the guidance of a reference RGB image. This task attracted …
measurements with or without the guidance of a reference RGB image. This task attracted …
Hy-Seg: A hybrid method for ground segmentation using point clouds
Real-time and accurate ground segmentation is a crucial technology for intelligent vehicles.
On the one hand, it obtains drivable area information for vehicles, which is of great …
On the one hand, it obtains drivable area information for vehicles, which is of great …