Latest Articles for Autonomous Vehicles

A new method improves vehicle interactions for better driving safety.

Poly-MOT enhances object tracking for robots in complex environments.

NAPTRON enhances object detection by addressing challenges with out-of-distribution samples.

A new model enhances training data for semantic segmentation in AI applications.

A study compares methods for estimating unmanned surface vehicle movements.

AnyLoc provides a robust VPR method for diverse environments without retraining.

DriveAdapter connects perception and planning for better autonomous driving.

A new approach to enhance the security of autonomous vehicles against cyber threats.

A new approach to assess the safety of AVs through counterfactual simulations.

New techniques enhance OOD detection while maintaining classification accuracy.

New methods enhance object recognition in varied environments for self-driving cars.

A new method enhances forklift movement safety in busy environments.

New method improves identification of strange objects on the road.

New methods improve object detection systems' resistance to adversarial changes.

Combining LiDAR and camera data improves accuracy in 3D panoptic segmentation.

A novel method for tracking and segmentation using only appearance models.

This article examines how neuroevolution improves vehicle trajectory prediction through multi-objective optimization.

A new method enhances 3D object detection for autonomous vehicles using BEV representation.

This study reveals biases in how autonomous cars detect pedestrians based on age and skin tone.

Exploring AirComp's role in efficient wireless data processing.

NP-SemiSeg enhances semantic segmentation accuracy while estimating uncertainty.

A study presents a dataset and techniques to improve image clarity during rain.

A method that reduces neural network complexity to improve verification efficiency.

Improving unmanned surface vessel navigation using advanced image processing techniques.

This article discusses the significance of predicting pedestrian movement for autonomous vehicle safety.

New framework enhances sensor fusion and calibration for autonomous devices.

A new modular system enhances vehicle state estimation accuracy.

This study reveals how drivers handle merging situations on the road.

SegDA improves object recognition in real-world images for self-driving cars.

A new model improves depth estimation using a single image.

Examining cooperative localization methods for underwater vehicles without GPS.

A look into LPVMPC and NMPC for safe driving.

A new dataset improves self-driving car training for challenging road conditions.

New approach enhances obstacle detection in autonomous vehicles through planned maneuvers.

Learn how quantum illumination improves object detection in challenging environments.

New methods ensure camera pose accuracy in critical applications.

A new method enhances future position predictions for autonomous vehicles.

Introducing CoverNav, a method for robots to find hidden paths in outdoor areas.

Exploring the latest improvements in autonomous race car systems for better performance and safety.

New techniques improve self-driving cars' perception without extensive labeled data.