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Found 6 papers, 4 papers with code
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed Manipulation
Precision Agriculture and especially the application of automated weed intervention represents an increasingly essential research area, as sustainability and efficiency considerations are becoming more and more relevant.
Towards Scene Understanding for Autonomous Operations on Airport Aprons
The results are quite promising for future applications and provide essential insights regarding the selection of aggregation strategies as well as current potentials and limitations of similar approaches in this research domain.
The Aircraft Context Dataset: Understanding and Optimizing Data Variability in Aerial Domains
Despite their increasing demand for assistant and autonomous systems, the recent shift towards data-driven approaches has hardly reached aerial domains, partly due to a lack of specific training and test data.
RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety
Automated monitoring and analysis of passenger movement in safety-critical parts of transport infrastructures represent a relevant visual surveillance task.
RailSem19: A Dataset for Semantic Rail Scene Understanding
In this paper, we intro-duce the first public dataset for semantic scene understand-ing for trains and trams: RailSem19.
WildDash - Creating Hazard-Aware Benchmarks
We have conducted a thorough risk analysis to identify situations and aspects that can reduce the output performance for these tasks.
