Latest Articles for LiDAR

GP-Frontier allows robots to navigate without maps by using real-time sensing.

This study examines how LiDAR setups affect autonomous vehicles in off-road environments.

PG-RCNN improves 3D object detection accuracy using LiDAR technology.

This article explores how drones use reinforcement learning for safe navigation in forests.

FusionAD improves self-driving car performance using combined sensor data.

New methods enhance object recognition in varied environments for self-driving cars.

A new method enhances forklift movement safety in busy environments.

Combining LiDAR and camera data improves accuracy in 3D panoptic segmentation.

Innovative methods to study mid-story fuels for improved fire management.

A new modular system enhances vehicle state estimation accuracy.

New techniques improve self-driving cars' perception without extensive labeled data.

This article explores how sensor fusion enhances self-driving vehicle safety and efficiency.

ELiOT enhances LiDAR odometry methods for improved robot localization.

A method for segmenting LiDAR data without manual labels using temporal analysis.

New unsupervised method improves change detection in landscapes using LiDAR data.

A new method improves SLAM performance using LiDAR and neural networks.

FusionFormer improves 3D object detection by effectively combining camera and LiDAR data.

Examining issues in detecting pedestrians to improve road safety for autonomous vehicles.

ImageTo360 improves LiDAR segmentation using minimal labeled data from camera images.

A new method uses LiDAR data for better 3D object detection.

STARNet enhances reliability of robot sensors for safer autonomy.

Examining how surface reflectivity affects sensor performance in autonomous vehicles.

A new method enhances vehicle positioning in challenging environments using multiple sensors.

New framework enhances camera localization accuracy using multi-view constraints and LiDAR data.

Combining LiDAR and camera data improves robot navigation in crowded spaces.

This study compares different machine learning models for accurate building detection.

FGFusion improves 3D object detection by combining lidar and camera data effectively.

LiDAR-UDA improves model performance across different sensor configurations.

A new method enhances control and performance for dual-rotor UAVs.

New dataset offers insights into LiDAR systems for place recognition.

LIVES helps robots find objects in unknown spaces using LiDAR technology.

Mask4D improves object tracking and recognition in dynamic environments using LiDAR data.

Combining various data sources for better robot movement and navigation.

Examining UAVs' role in improving tree detection methods using point clouds and images.

A new framework improves object detection accuracy in real-world environments.

SOAP enhances detection of stationary objects using data from different Lidar sensors.

Low-power radar systems show promise for enhancing autonomous racing technologies.

A new method combines camera and Lidar data for more accurate object positioning.

New methods enhance lidar applications for studying forest ecosystems and ecological management.

NeRF technology enhances forest monitoring through advanced 3D modeling and data integration.