20 citations · 37 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…