Latest Articles for Self-Driving Technology

Introducing an efficient algorithm for reinforcement learning with deterministic dynamics.

Study enhances lane-changing strategies for self-driving cars in mixed traffic.

A new method improves recognition of point cloud data for autonomous vehicles.

New model MMPedestron improves pedestrian detection using multiple sensor types.

A new method streamlines data selection for autonomous vehicle safety verification.

A new model enhances trajectory prediction for self-driving cars in diverse conditions.

New method improves self-driving car decision-making through object-focused representations.

This article discusses safety concerns in trajectory planning for automated vehicles.

A new framework improves object recognition and depth perception for machines.

A new method improves image segmentation across varying conditions.

BaseBoostDepth improves depth accuracy with innovative techniques for computer vision.

A new method improves tracking accuracy in challenging 3D environments.

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

A new method enhances lane detection accuracy for self-driving cars.

A new method enhances 3D point cloud registration using Universal Manifold Embedding.

AdaOcc improves 3D occupancy mapping for safer autonomous driving.

New datasets and models improve LiDAR data quality in bad weather.

A new method uses GANs to enhance radar images in adverse weather.

A new approach improves depth estimation from single images using language models.

A new method generates street view images from bird's-eye view for self-driving cars.

This project tests lane-following methods for safer self-driving vehicle operation.

New method improves continual learning in object detection.

Introducing CollaMamba, a model to enhance understanding in technology fields.

A new system enhances traffic light detection for safer autonomous driving.

A look at advancements in decision-making for self-driving vehicles.

Skyeyes generates detailed ground views from aerial images for various applications.

OccRWKV model enhances efficiency in robotic navigation and object recognition.

A new approach improves depth estimation from single images using pixel movement.

ROAD-Waymo enhances understanding of road actions for autonomous vehicles.

A new framework enhances predictions and decisions for autonomous vehicles.

MFTP transforms how self-driving cars predict movements without detailed maps.

MLLM-AD-4o enhances self-driving cars' safety in challenging weather.

Exploring the use of RTDETR for safer roads in Bangladesh.

A new 3D method improves image clarity and reduces clutter.

Innovative approach uses dashcam footage to create realistic simulations for self-driving cars.

Engineers use language models to create unique scenarios for safe self-driving car testing.

Self-driving cars face merging challenges on highways. Safety is key.

Innovative methods improve road recognition for self-driving cars in snowy conditions.

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

New technique improves map segmentation for self-driving vehicles using high-frequency information.