Computational 3D vision concerns algorithms and sensor systems that infer three-dimensional structure, motion, and semantics from visual and related signals. Methods span monocular and multi-view 3D reconstruction, depth estimation, inverse rendering, and 4D scene capture, often integrating LiDAR, radar, infrared, and event or neuromorphic sensors. Deep learning architectures and data-driven simulation play central roles in segmentation, pose estimation, anomaly detection, and novel view synthesis, enabling robust perception, mapping, and editing of complex environments for robotics, autonomous systems, and immersive displays.
Automotive
Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in the International Journal ...
Mar 17, 2026
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Robotics
Current vision systems for robots and drones rely on 3D sensors that, although powerful, do not always keep up with the fast-paced, unpredictable movement of the real world. These systems often struggle to measure speed instantly ...
Security
Consumers, businesses, and institutions may soon have private, secure, and trustworthy generative AI tools for editing and sharing profile photos, ID images, and personal pictures without exposing their private identities ...
Mar 12, 2026
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Automotive
Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers are identified. Using a single 3D deep learning model, researchers are able to detect three major ...
Mar 11, 2026
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Robotics
MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like robot navigation, that is about twice as effective as some existing techniques. Their method uses ...
Mar 11, 2026
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Computer Sciences
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept bottleneck modeling is one ...
Mar 9, 2026
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Engineering
Purdue University engineers have developed a patent-pending method to decrease hazardous strikes to underground utility pipes during construction projects. This could lower related financial losses, service disruptions, injuries ...
Mar 5, 2026
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Robotics
Robot vision could soon get a boost thanks to the development of a bioinspired eye that can automatically adjust its pupil size in response to changing light levels. Robots, self-driving cars and drones often struggle with ...
Engineering
Emergency evacuations during natural disasters like earthquakes and tsunamis increasingly rely on advanced technology to effectively assess real-time crowd movement and points of congestion. Disaster-preparedness involves ...
Feb 27, 2026
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Computer Sciences
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, infrastructure monitoring, robotics, ...
Feb 25, 2026
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