Samfusion: Sensor-adaptive multimodal fusion for 3d object detection in adverse weather
Multimodal sensor fusion is an essential capability for autonomous robots, enabling object
detection and decision-making in the presence of failing or uncertain inputs. While recent …
detection and decision-making in the presence of failing or uncertain inputs. While recent …
Towards practical consistent video depth estimation
Monocular depth estimation algorithms aim to explore the possible links between 2D and 3D
data, but challenges remain for existing methods to predict consistent depth from a casual …
data, but challenges remain for existing methods to predict consistent depth from a casual …
AR-CP: Uncertainty-Aware Perception in Adverse Conditions with Conformal Prediction and Augmented Reality For Assisted Driving
A Doula, M Mühlhäuser… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Deep learning models are pivotal in enhancing driver assistance systems and improving
environmental perception. However the tendency of neural networks towards overconfident …
environmental perception. However the tendency of neural networks towards overconfident …
Efficient temporal denoising for improved depth map applications
P Li, Z Li - 2023 - openreview.net
Depth estimation involves acquiring three-dimensional information from images, which has
numerous applications in downstream tasks. Although several effective monocular depth …
numerous applications in downstream tasks. Although several effective monocular depth …
Range-intensity-profile-guided gated light ranging and imaging based on a convolutional neural network
C Xia, X Wang, L Sun, Y Zhang, B Song, Y Zhou - Sensors, 2024 - mdpi.com
Three-dimensional (3D) range-gated imaging can obtain high spatial resolution intensity
images as well as pixel-wise depth information. Several algorithms have been developed to …
images as well as pixel-wise depth information. Several algorithms have been developed to …
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion
This paper presents a novel monocular depth estimation method, named ECFNet, for
estimating high-quality monocular depth with clear edges and valid overall structure from a …
estimating high-quality monocular depth with clear edges and valid overall structure from a …
Depth-prior-based lidar point cloud de-noising method leveraging range-gated imaging
Z Yang, X Liu - Optics Letters, 2024 - opg.optica.org
Light Detection and Ranging (LiDAR) has been widely adopted in modern self-driving
vehicles and mobile robotics, providing 3D information of the scene and surrounding …
vehicles and mobile robotics, providing 3D information of the scene and surrounding …
DARTS: Diffusion Approximated Residual Time Sampling for Time-of-flight Rendering in Homogeneous Scattering Media
Time-of-flight (ToF) devices have greatly propelled the advancement of various multi-modal
perception applications. However, achieving accurate rendering of time-resolved …
perception applications. However, achieving accurate rendering of time-resolved …
Noise robust underwater fishing net recognition based on range gated imaging
Z Xu, X Wang, L Sun, B Song, Y Zhang, P Lei… - IEEE …, 2024 - ieeexplore.ieee.org
Underwater fishing net recognition plays an indispensable role in applications such as safe
navigation of unmanned underwater vehicles, protection of marine ecology and marine …
navigation of unmanned underwater vehicles, protection of marine ecology and marine …
Vision-guided three-dimensional range-gated imaging based on epistemic uncertainty estimation
X Liu, Y Niu, X Wang - Optical Engineering, 2023 - spiedigitallibrary.org
In recent years, vision-guided three-dimensional (3D) range-gated imaging has broken
through the hardware limitations of traditional methods and brought new ideas to the field of …
through the hardware limitations of traditional methods and brought new ideas to the field of …