Latest Articles for Autonomous Vehicles

A new method enhances safety testing for self-driving vehicles.

Safety islands enhance HPC devices for critical applications like self-driving cars.

This study examines how LiDAR setups affect autonomous vehicles in off-road environments.

A technique using transparent displays confuses camera recognition systems.

PG-RCNN improves 3D object detection accuracy using LiDAR technology.

METAVerse improves terrain traversability predictions for autonomous vehicles.

New methods improve visibility of hidden objects using advanced light analysis.

MAMo enhances depth estimation from video, improving accuracy and speed.

A new approach improves prediction accuracy and efficiency for self-driving cars in traffic.

Event cameras are changing the landscape of visual sensing in autonomous systems.

This method improves image clarity when faced with dynamic obstacles.

SAFE model improves clarity in AI decision-making through effective counterfactual explanations.

A new approach enhances AV communication with human drivers during complex maneuvers.

Examining challenges and defenses against adversarial attacks on 3D point clouds.

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.