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Found 7 papers, 2 papers with code
WaterNeRF: Neural Radiance Fields for Underwater Scenes
Underwater imaging is a critical task performed by marine robots for a wide range of applications including aquaculture, marine infrastructure inspection, and environmental monitoring.
CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations
Recent advances in neural radiance fields (NeRFs) achieve state-of-the-art novel view synthesis and facilitate dense estimation of scene properties.
Pixel-Wise Motion Deblurring of Thermal Videos
To address this problem, this paper formulates reversing the effect of thermal inertia at a single pixel as a Least Absolute Shrinkage and Selection Operator (LASSO) problem which we can solve rapidly using a quadratic programming solver.
LiStereo: Generate Dense Depth Maps from LIDAR and Stereo Imagery
An accurate depth map of the environment is critical to the safe operation of autonomous robots and vehicles.
PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections
This paper presents a novel dataset titled PedX, a large-scale multimodal collection of pedestrians at complex urban intersections.
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
We show that a state-of-the-art detector, tracker, and our classifier trained only on synthetic data can identify valid errors on KITTI tracking dataset with an average precision of 0. 94.
A Motion Planning Strategy for the Active Vision-Based Mapping of Ground-Level Structures
This paper presents a strategy to guide a mobile ground robot equipped with a camera or depth sensor, in order to autonomously map the visible part of a bounded three-dimensional structure.
