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Found 4 papers, 2 papers with code
Leveraging convergence behavior to balance conflicting tasks in multi-task learning
Multi-Task Learning is a learning paradigm that uses correlated tasks to improve performance generalization.
Driving Style Recognition Using Interval Type-2 Fuzzy Inference System and Multiple Experts Decision Making
The results show the tendency to associate lower kinematic profiles for the driving styles classified with the type-2 fuzzy inference system when compared to other algorithms, which is in line with the more conservative approach adopted in the aggregation of the experts' opinions.
A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge
The objective of the first CARLA autonomous driving challenge was to deploy autonomous driving systems to lead with complex traffic scenarios where all participants faced the same challenging traffic situations.
Ranked #8 on
CARLA MAP Leaderboard
on CARLA
Vision-Based Road Detection using Contextual Blocks
Our starting point is the well-known machine learning approach, in which a classifier is trained to distinguish road and non-road regions based on hand-labeled images.
