Latest Articles for Sensor Technology

A new system improves how robots estimate object rotations during slippage.

A novel method improves the reconstruction of physical fields using limited sensor data.

A new evaluation method for roadside perception enhances driverless car technology.

A new approach uses graph neural networks for better anomaly detection.

A new framework enhances robots' ability to perform varied manipulation tasks.

A new method improves DOA estimation using one-bit-aided modulo sampling.

A look at how sensor simulations boost safety in autonomous driving.

A set-based approach for accurate monitoring amid sensor attacks.

Explore the functionality and applications of silicon photomultipliers in modern science.

This article explores how two sensor types improve obstacle detection in self-driving cars.

A look at Gaussian processes and splines for robot path tracking.

A method for robots to better assess their surroundings using combined visual and tactile data.

Advancements in AI focus on assessing uncertainty in robotic object detection.

An overview of stabilizing agreement issues in distributed computing.

A new method enhances predictions in virtual sensing with limited data.

A new method enhances consensus in distributed systems amidst noise and faults.

A new approach enhances beam prediction for wireless communication using various sensor data.

Researchers improve methods for measuring gas movement in stable conditions.

This article explores the TUMTraf-V2X dataset and its impact on self-driving car safety.

DUFOMap offers efficient real-time mapping for dynamic environments.

A sensor detects small electric fields at atomic levels, improving material research.

K-Link enhances MTS data analysis through improved sensor interaction understanding.

A new small tactile sensor improves robot touch in medical applications.

A new method improves robot grasping by combining motion and grasp planning using point clouds.

Researchers harness noise to enhance sensitivity in signal detection.

D-DUIO improves state estimation using data-driven approaches across dynamic systems.

This research tackles timing issues in bi-static sensing for better performance.

SynPF algorithm shows promise for reliable vehicle localization in challenging racing conditions.

Learn how to measure uncertainties in robotic pose estimation for better performance.

A new method improves calibration accuracy for MIMO radar and optical sensors in close ranges.

Exploring the role of sensors in improving target tracking accuracy.

A new method boosts LiDAR systems to enhance safety in self-driving cars.

ReLaTo offers improved methods for aligning 3D data under large transformations.

Using GelSight sensors enhances robotic object placement accuracy significantly.

A new approach improves camera and radar systems for better object detection.

Improving signal transmission for accurate event detection through sensor collaboration.

Research enhances robot exploration by improving decision-making using active perception methods.

Combining 5G signals and sensors enhances indoor drone positioning accuracy.

A new method enhances object detection in autonomous vehicles using combined sensor data.

Research on graphene and hBN offers potential for ultra-sensitive sensors.