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 …
Collaborative perception in autonomous driving: Methods, datasets, and challenges
Collaborative perception is essential to address occlusion and sensor failure issues in
autonomous driving. In recent years, theoretical and experimental investigations of novel …
autonomous driving. In recent years, theoretical and experimental investigations of novel …
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 …
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 …
V2x-vit: Vehicle-to-everything cooperative perception with vision transformer
In this paper, we investigate the application of Vehicle-to-Everything (V2X) communication to
improve the perception performance of autonomous vehicles. We present a robust …
improve the perception performance of autonomous vehicles. We present a robust …
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 …
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 …
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 …
Collaboration helps camera overtake lidar in 3d detection
Camera-only 3D detection provides an economical solution with a simple configuration for
localizing objects in 3D space compared to LiDAR-based detection systems. However, a …
localizing objects in 3D space compared to LiDAR-based detection systems. However, a …
A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …