Latest Articles for Autonomous Vehicles

ISAC combines sensing and communication to improve wireless networks and applications.

A new method improves how cars understand their surroundings.

Exploring DINO pre-training's impact on autonomous vehicle performance and adaptability.

A novel approach focusing on object-wise depth improves 3D detection accuracy.

Examining the vulnerabilities and potential attacks on NeRF technology.

A new model improves mobile communication between moving devices.

The V2X-M2C model enhances how vehicles perceive their surroundings through collaboration.

Exploring a new approach for multi-objective preference optimization.

A new method merges data from event and frame cameras for better object detection.

This study examines how modern VPR methods enhance submap merging in visual SLAM systems.

Exploring new methods for user localization in 6G networks using large antenna arrays.

A new method improves image generation for autonomous driving in adverse conditions.

A new model for understanding 3D environments using text-based descriptions.

Nonlocal stochastic models enhance traffic management and reduce congestion.

DACCA enhances lane detection through improved feature learning and context aggregation.

A new method enhances visual odometry for underwater vehicles.

A new method improves detection of self-driving car model failures.

New methods enhance safety in self-driving cars amid unpredictable obstacles.

Revolutionizing lane detection for self-driving cars with enhanced accuracy and understanding.

New methods combine camera data with GPS for enhanced location accuracy.

A new method improves 3D semantic segmentation by integrating 2D techniques.

A new method improves detection of unknown objects in varied images.

Exploring ways to enhance place recognition using various sensor data.

This study examines how Gaussian blur affects object detection in simulated environments.

A new platform enhances testing for autonomous vehicles through realistic racing simulations.

This article discusses the role of Deformable Convolutions in enhancing semantic segmentation for autonomous driving.

Examining how sensor data timing affects autonomous vehicle safety and performance.

Evaluating large language models for enhancing road safety in self-driving cars.

A new approach improves how vehicles predict pedestrian actions.

New method improves accuracy and efficiency in 3D object detection using Linear Group RNN.

This study examines a method to enhance segmentation in varied driving conditions.

This article discusses the latest methods in video object detection.

A new model uses text to guide LiDAR data creation, reducing costs and improving accuracy.

A new system enhances predictions of nearby vehicle movements for self-driving cars.

A new approach to improve LiDAR mapping accuracy in robotics.

A new approach to analyze reachability in systems influenced by randomness.

RoCo framework addresses pose errors for better object detection in vehicle collaboration.

Multi-Task Grouping improves learning efficiency and performance across various AI applications.

New methods improve accuracy in tracking objects using only distance measurements.

A look at infrastructure-based solutions for better autonomous vehicle perception.