Latest Articles for Autonomous Vehicles

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

A new method enhances video forecasting by separating scene elements for better predictions.

New method enhances vehicle tracking using detailed 3D building models.

A new method improves 3D object detection using LiDAR data without labels.

V2INet improves trajectory prediction using multi-view data for autonomous vehicles.

RPrDepth uses single images for accurate depth estimation leveraging rich-resource data.

A powerful simulator designed to enhance self-driving car training through rapid scenario generation.

Combining existing methods improves OOD detection for safer machine learning applications.

SceneMotion improves predictions for self-driving cars by considering agent interactions.

VoxelTrack improves 3D tracking accuracy using voxel representation and real-time capabilities.

A small-scale city model aids research on self-driving cars and smart transport systems.

A new method improves object detection in autonomous vehicles using vision and language.

A new framework enhances robot safety and efficiency in unpredictable settings.

Introducing MS-Mapping, a system improving LiDAR mapping accuracy and efficiency.

Developing agents that engage in real-time dialogue for better navigation.

A new method improves robot behavior safety using STL specifications.

A new approach enhances self-driving cars' ability to navigate roundabouts safely.

New compression techniques improve data handling in autonomous vehicles.

A new method enhances sensor data use in self-driving cars.

RadarPillars enhances object detection using unique 4D radar data.

GeoFormer improves 3D shape representation by completing missing data in point clouds.

IIT Bombay Racing builds an autonomous racecar for competitive racing without human intervention.

A new method improves imaging in environments without direct visibility.

This new laser offers fast tuning with low noise and high power.

A new model enhances 3D perception by combining depth and semantic information.

Enhancing AI transparency through interactive user feedback and belief change theory.

Combining camera and LiDAR data enhances the detection capabilities of autonomous vehicles.

A new model improves clarity and detail in underwater photography and videography.

Introducing MetaSeg for improved semantic segmentation in various applications.

This study presents a traffic flow model that accounts for connected and autonomous vehicles.

A new method enhances place recognition in limited LiDAR field of view.

Discover how V2X communication transforms road safety and traffic management.

A new method enhances detection of weak positive samples in 3D environments.

MM-SAM improves image segmentation by integrating multiple sensor data types.

How explanation specificity affects passenger safety and anxiety in autonomous vehicles.

New method enhances safety for autonomous cars using a single RGB-D camera.

A new method enhances object recognition in 3D environments.

Examining SAM's robustness against adversarial attacks for safer self-driving technology.

A novel approach to generate policies that cater to different preferences.

A new method improves sampling and analysis of noisy 3D data.