Multi-modal 3d object detection in autonomous driving: A survey and taxonomy
Autonomous vehicles require constant environmental perception to obtain the distribution of
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …
obstacles to achieve safe driving. Specifically, 3D object detection is a vital functional …
Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
vehicles benefiting from the increase in the amount, diversity as well as scope of data …
Maxvit: Multi-axis vision transformer
Transformers have recently gained significant attention in the computer vision community.
However, the lack of scalability of self-attention mechanisms with respect to image size has …
However, the lack of scalability of self-attention mechanisms with respect to image size has …
End-to-end autonomous driving: Challenges and frontiers
The autonomous driving community has witnessed a rapid growth in approaches that
embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …
embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle …
Maxim: Multi-axis mlp for image processing
Recent progress on Transformers and multi-layer perceptron (MLP) models provide new
network architectural designs for computer vision tasks. Although these models proved to be …
network architectural designs for computer vision tasks. Although these models proved to be …
Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion
Humans can easily imagine the complete 3D geometry of occluded objects and scenes. This
appealing ability is vital for recognition and understanding. To enable such capability in AI …
appealing ability is vital for recognition and understanding. To enable such capability in AI …
V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception
Modern perception systems of autonomous vehicles are known to be sensitive to occlusions
and lack the capability of long perceiving range. It has been one of the key bottlenecks that …
and lack the capability of long perceiving range. It has been one of the key bottlenecks that …
Where2comm: Communication-efficient collaborative perception via spatial confidence maps
Multi-agent collaborative perception could significantly upgrade the perception performance
by enabling agents to share complementary information with each other through …
by enabling agents to share complementary information with each other through …
HYDRO-3D: Hybrid object detection and tracking for cooperative perception using 3D LiDAR
3D-LiDAR-based cooperative perception has been generating significant interest for its
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …
YOLOv5-Tassel: Detecting tassels in RGB UAV imagery with improved YOLOv5 based on transfer learning
W Liu, K Quijano, MM Crawford - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) equipped with lightweight sensors, such as RGB cameras
and LiDAR, have significant potential in precision agriculture, including object detection …
and LiDAR, have significant potential in precision agriculture, including object detection …