Latest Articles for Autonomous Vehicles

Discover how superpixels improve machine understanding of images.

Revolutionary model enhances pedestrian movement prediction using social dynamics.

Discover how researchers tackle optimal control problems with innovative approaches.

Robots are learning to work alongside humans more effectively.

A groundbreaking dataset enhances maritime navigation for autonomous boats.

New methods enhance image quality by addressing uncertainty in generative models.

Exploring the risks of backdoor attacks in machine learning and their implications.

Learn how robots and vehicles avoid collisions in busy environments.

A new method combines 2D and 3D tracking for better scene reconstruction.

A cutting-edge approach improving vehicle perception and safety.

Discover how self-driving cars are learning to see and react on the road.

Event cameras present a game-changing approach for fast object detection.

A look at how the OccluRoads dataset tackles hidden pedestrian detection.

EdgeD3 algorithm boosts AI efficiency in real-time applications.

Test-time correction helps self-driving cars learn and adapt on the road.

A new method boosts AUV performance in underwater tracking tasks.

Enhancing object tracking in USVs for challenging maritime conditions.

FMGP improves DNN predictions by estimating uncertainty, crucial for high-stakes applications.

New methods improve how self-driving cars perceive their surroundings.

Connected Autonomous Vehicles use collaboration for safer, smarter travel.

A new method clarifies machine learning decision-making for better trust and reliability.

LOMA combines visual and language features for improved 3D space predictions.

A new framework enhances data labeling for self-driving cars.

A look at new safety strategies in self-driving technology.

Synthetic datasets are key to training event-based cameras for safer autonomous driving.

Discover how MMD-OPT enhances safety in autonomous driving.

DFRC systems blend radar detection and communication, tackling target direction uncertainty.

Discover how shared data makes autonomous driving safer and smarter.

NEST helps autonomous vehicles predict movement, enhancing road safety and efficiency.

GaussTR redefines how machines perceive three-dimensional environments with improved performance and efficiency.

How machines learn to predict their environment for safety and efficiency.

ISAC merges communication and sensing for smarter technology solutions.

SLTNet transforms how machines process event camera data efficiently.

CLIP-RLDrive improves AVs' decision-making in complex driving scenarios.

Learn how asynchronous techniques improve real-time decision-making for AI agents.

Combining foundation models and affordable sensors enhances depth perception across various applications.

SimADFuzz improves safety testing for autonomous vehicles with diverse scenarios.

The rise of robot vehicles changes traffic flow at intersections.

New framework optimizes traffic flow with autonomous vehicles and AI.

Advancements in 3D scene reconstruction are reshaping highway safety.