activity
20192023
most citedA Survey of Autonomous Driving: Common Practices and Emerging Technologies

1.9k citations · 2.5k across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2023★ 3 cited

Learning to Predict Navigational Patterns from Partial Observations

Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar +3

Human beings cooperatively navigate rule-constrained environments by adhering to mutually known navigational patterns, which may be represented as directional pathways or road lane…

cs.CV2023

Predictive World Models from Real-World Partial Observations

Robin Karlsson, Alexander Carballo, Keisuke Fujii +2

Cognitive scientists believe adaptable intelligent agents like humans perform reasoning through learned causal mental simulations of agents and environments. The problem of learnin…

cs.CV2022★ 9 cited

RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments

Yafu Tian, Alexander Carballo, Ruifeng Li +1

Behavioral and semantic relationships play a vital role on intelligent self-driving vehicles and ADAS systems. Different from other research focused on trajectory, position, and bo…

cs.RO2021★ 581 cited

Perception and Sensing for Autonomous Vehicles Under Adverse Weather Conditions: A Survey

Yuxiao Zhang, Alexander Carballo, Hanting Yang +1

Automated Driving Systems (ADS) open up a new domain for the automotive industry and offer new possibilities for future transportation with higher efficiency and comfortable experi…

cs.CV2021

ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment

Robin Karlsson, Tomoki Hayashi, Keisuke Fujii +3

Recent self-supervised models have demonstrated equal or better performance than supervised methods, opening for AI systems to learn visual representations from practically unlimit…

cs.CV2020★ 20 cited

Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles

Yafu Tian, Alexander Carballo, Ruifeng Li +1

Rich semantic information extraction plays a vital role on next-generation intelligent vehicles. Currently there is great amount of research focusing on fundamental applications su…

cs.RO2020★ 5 cited

Characterization of Multiple 3D LiDARs for Localization and Mapping using Normal Distributions Transform

Alexander Carballo, Abraham Monrroy, David Wong +6

In this work, we present a detailed comparison of ten different 3D LiDAR sensors, covering a range of manufacturers, models, and laser configurations, for the tasks of mapping and…

cs.RO2020

LIBRE: The Multiple 3D LiDAR Dataset

Alexander Carballo, Jacob Lambert, Abraham Monrroy-Cano +6

In this work, we present LIBRE: LiDAR Benchmarking and Reference, a first-of-its-kind dataset featuring 10 different LiDAR sensors, covering a range of manufacturers, models, and l…

cs.RO2019★ 1.9k cited

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Ekim Yurtsever, Jacob Lambert, Alexander Carballo +1

Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The full p…