Alexander Carballo

Orcid: 0000-0002-5941-2195

According to our database1, Alexander Carballo authored at least 65 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Open-Vocabulary Predictive World Models from Sensor Observations.
Sensors, July, 2024

R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut.
Sensors, May, 2024

Sparse Prototype Network for Explainable Pedestrian Behavior Prediction.
CoRR, 2024

MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction.
CoRR, 2024

DRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding.
IEEE Access, 2024

360 LiDAR + 360 RGB + 360 Thermal: Multimodal Targetless Calibration.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

RSG-Search Plus: An Advanced Traffic Scene Retrieval Methods based on Road Scene Graph.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Contrasting Disentangled Partial Observations for Pedestrian Action Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Controllable Unsupervised Snow Synthesis by Latent Style Space Manipulation.
Sensors, October, 2023

Learning to Predict Navigational Patterns From Partial Observations.
IEEE Robotics Autom. Lett., September, 2023

Framework for Generation and Removal of Multiple Types of Adverse Weather from Driving Scene Images.
Sensors, February, 2023

DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding.
CoRR, 2023

Intervention Request Planning with Operator Capability Model for Human-Automation Cooperative Recognition.
Proceedings of the IEEE International Conference on Mobility, 2023

Predictive World Models from Real-World Partial Observations.
Proceedings of the IEEE International Conference on Mobility, 2023

LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

RSG-Search: Semantic Traffic Scene Retrieval Using Graph-Based Scene Representation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Real-Time Graph-Based Optimization for GNSS-Doppler Integrated RTK-GNSS/IMU/DR Positioning System in Urban Area.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Uncertainty Aware Task Allocation for Human-Automation Cooperative Recognition in Autonomous Driving Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Personalized Causal Factor Generalization for Subjective Risky Scene Understanding with Vision Transformer.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Deepware: An Open-Source Toolkit for Developing and Evaluating Learning-Based and Model-Based Autonomous Driving Models.
IEEE Access, 2022

Data-Driven Risk-Sensitive Control for Personalized Lane Change Maneuvers.
IEEE Access, 2022

Disentangled Bad Weather Removal GAN for Pedestrian Detection.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Efficient Training Method for Point Cloud-Based Object Detection Models by Combining Environmental Transitions and Active Learning.
Proceedings of the Robot Intelligence Technology and Applications 7, 2022

Real-to-Synthetic: Generating Simulator Friendly Traffic Scenes from Graph Representation.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Driving Risk and Intervention: Subjective Risk Lane Change Dataset.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Motion Analysis and Performance Improved Method for 3D LiDAR Sensor Data Compression.
IEEE Trans. Intell. Transp. Syst., 2021

Autonomous Driving in Adverse Weather Conditions: A Survey.
CoRR, 2021

ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations.
CoRR, 2021

RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Eagleye: A Lane-Level Localization Using Low-Cost GNSS/IMU.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

A Comparison of Methods for Sharing Recognition Information and Interventions to Assist Recognition in Autonomous Driving System.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Prediction of Personalized Driving Behaviors via Driver-Adaptive Deep Generative Models.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

A recognition phase Intervention Interface to Improve Naturalness of Autonomous Driving for Distracted Drivers.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Extracting Human-Like Driving Behaviors From Expert Driver Data Using Deep Learning.
IEEE Trans. Veh. Technol., 2020

Personalized Subjective Driving Risk: Analysis and Prediction.
J. Robotics Mechatronics, 2020

Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles.
CoRR, 2020

Characterization of Multiple 3D LiDARs for Localization and Mapping using Normal Distributions Transform.
CoRR, 2020

A Survey of Autonomous Driving: Common Practices and Emerging Technologies.
IEEE Access, 2020

Performance Analysis of 10 Models of 3D LiDARs for Automated Driving.
IEEE Access, 2020

Point Grid Map-Based Mid-To-Mid Driving without Object Detection.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

LIBRE: The Multiple 3D LiDAR Dataset.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Person-Following Algorithm Based on Laser Range Finder and Monocular Camera Data Fusion for a Wheeled Autonomous Mobile Robot.
Proceedings of the Interactive Collaborative Robotics - 5th International Conference, 2020

Basic User Interaction Features for Human-Following Cargo Robot TIAGo Base.
Proceedings of the 13th International Conference on Developments in eSystems Engineering, 2020

2019
Real-Time Streaming Point Cloud Compression for 3D LiDAR Sensor Using U-Net.
IEEE Access, 2019

3D Map Optimization with Fully Convolutional Neural Network and Dynamic Local NDT.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

SECOND-DX: Single-model Multi-class Extension for Sparse 3D Object Detection.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Training Engineers in Autonomous Driving Technologies using Autoware.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Personalized Safety-focused Control by Minimizing Subjective Risk.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Point Cloud Compression for 3D LiDAR Sensor using Recurrent Neural Network with Residual Blocks.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Tsukuba Challenge 2017 Dynamic Object Tracks Dataset for Pedestrian Behavior Analysis.
J. Robotics Mechatronics, 2018

End-to-End Autonomous Mobile Robot Navigation with Model-Based System Support.
J. Robotics Mechatronics, 2018

End-to-End Navigation with Branch Turning Support Using Convolutional Neural Network.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

High Density Ground Maps using Low Boundary Height Estimation for Autonomous Vehicles.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2011
Reliable People Detection Using Range and Intensity Data from Multiple Layers of Laser Range Finders on a Mobile Robot.
Int. J. Soc. Robotics, 2011

2010
Laser reflection intensity and multi-layered Laser Range Finders for people detection.
Proceedings of the 19th IEEE International Conference on Robot and Human Interactive Communication, 2010

People detection using range and intensity data from multi-layered Laser Range Finders.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009
Autonomous robot navigation in outdoor cluttered pedestrian walkways.
J. Field Robotics, 2009

2008
Fusion of double layered multiple laser range finders for people detection from a mobile robot.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

Time synchronization between SOKUIKI sensor and host computer using timestamps.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008

1Km autonomous robot navigation on outdoor pedestrian paths "running the Tsukuba challenge 2007".
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

2005
Developing a Web Caching Architecture with Configurable Consistency: A Proposal.
Proceedings of the WEBIST 2005, 2005


  Loading...