Latest Articles for Autonomous Vehicles

VecKM improves local geometry encoding for point clouds, enhancing efficiency and robustness.

New methods improve safety by predicting out-of-sight pedestrian movements for autonomous vehicles.

A new approach for realistic traffic scenarios in autonomous vehicle testing.

A new method enhances object detection in autonomous vehicles using combined sensor data.

LidarDM generates realistic LiDAR videos for autonomous vehicle training and testing.

Introducing efficient control methods for large-scale systems using distributed observers.

A new method improves motion prediction for autonomous vehicles, focusing on safety and uncertainty.

Exploring how semi-supervised learning combines labeled and unlabeled data for better AI models.

Using historical LiDAR data to enhance camera-based 3D detection in autonomous vehicles.

Research focuses on enhancing mapping methods for efficient location identification.

MemFlow offers real-time optical flow estimation using a memory module for enhanced accuracy.

EasyTrack and EasyTrack++ improve object tracking in 3D environments using point clouds.

Innovative models enhance road condition understanding for autonomous vehicles.

A new method enhances visual object tracking resilience against subtle attacks.

Discover how small-scale cars are shaping autonomous driving education and research.

Clear communication builds trust in autonomous vehicles for all road users.

A new framework enhances vehicle awareness through shared data and prioritization.

A new method enhances imitation learning efficiency using boosting.

Learn to classify objects using images and 3D point clouds without labels.

A new method enhances robot movement with human behavior insights.

A new method enhances the reliability of neural network predictions in regression tasks.

A new framework improves object detection for known and unknown items.

Understanding communication is key to trust in autonomous vehicles.

SLAIM enhances real-time tracking and mapping using advanced neural networks and depth information.

A quick method to create 3D models from just six photos, ideal for vehicles.

A new approach to improve multi-object tracking via 3D data.

ISAC networks are changing the landscape of wireless connectivity and sensing capabilities.

An overview of NeRF applications transforming self-driving technology.

A new method improves vehicle positioning using 5G and onboard sensors.

A new method improves model reliability by enhancing OOD detection.

Channel sounding enhances wireless systems through effective signal measurement.

Exploring new methods to improve uncertainty representation in deep learning.

Enhancing control strategies for systems while avoiding obstacles.

Improving location tracking with innovative quantum technology methods.

A new approach to safety analysis using piecewise stochastic barrier functions.

We're merging camera and radar data for better object detection in AVs.

Introducing a flexible research platform for automated driving innovation.

New model improves vehicle environment recognition using cameras and LiDAR.

Robots can enhance navigation by classifying different terrains in challenging environments.

Assessing image translation techniques in self-driving car testing.