Latest Articles for Transportation Technology

Combining LiDAR and camera data to improve self-driving technology efficiency.

A new approach enhances self-driving cars by mimicking human thinking patterns.

A new toolkit aids collaboration in designing pedestrian-vehicle interfaces.

UAD method reduces data needs and enhances efficiency in autonomous driving.

LCSim offers improved tools for realistic urban traffic scenarios.

Self-driving cars use rule-based systems for safer road navigation and decision-making.

Efficient controller design for uncertain systems using abstraction techniques.

SeFlow enhances motion estimation for self-driving cars using self-supervised learning.

This paper explores ways to better assess model calibration and predictive accuracy.

A new method enhances safety by accurately predicting Time to Collision using event-based cameras.

Learn how active inference enhances self-driving car capabilities.

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

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

A novel approach to enhance performance in hierarchical federated learning.

Exploring the impact of digital twins on vehicular networks and communication.

A framework enhances security in connected vehicles while protecting user privacy.

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

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

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

Discover how V2X communication transforms road safety and traffic management.

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

A new training method enhances 3D object detection using synthetic and real-world data.

A novel approach improves drifting safety for self-driving cars using physics.

Combining Behavioral Cloning and PPO enhances trajectory planning for self-driving cars.

Using digital twins to optimize roundabout traffic and improve vehicle communication.

A framework improving vehicle localization using multiple sensor data integration.

Exploring how language models enhance autonomous driving technologies.

Research highlights a new approach for real-time learning in self-driving cars.

A new model improves motion prediction for self-driving cars with minimal resources.

Innovative methods enhance understanding of surroundings for self-driving vehicles.

HeightMapNet improves mapping for self-driving cars by enhancing accuracy and detail.

Polar R-CNN innovates lane detection, improving efficiency and performance.

New pilot sequences improve communication in rapidly changing environments.

SplatAD merges camera and Lidar data for smarter self-driving cars.

A new model improves predictions for autonomous vehicles in complex traffic.

New methods help smart cars learn from low-quality road images.

Exploring cooperative technology in self-driving cars for improved safety and efficiency.

Learn how to add transit lines seamlessly to existing networks.

New method enhances self-driving vehicle navigation and object tracking.

HoloDrive merges 2D and 3D data for smarter self-driving cars.