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Emergency Index (EI): A two-dimensional surrogate safety measure considering vehicles' interaction depth
[CoRL 2024 Oral] FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality
A generative world for general-purpose robotics & embodied AI learning.
TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark
This is the source code and the web application of the paper
Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
A universal time series representation learning framework
🚧 🚔 ⚠ Toolbox to compute Criticality Measures for Automated Vehicles
Official documentation of I-24 MOTION data products
This is the code corresponding to the experiments conducted for the work "End-to-end deep representation learning for time series clustering: a comparative study" (Baptiste Lafabregue, Jonathan Web…
This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.
Code for "Learning Graph Cellular Automata" (NeurIPS 2021).
Official implementation of E(n)-equivariant Graph Neural Cellular Automata
Summarized versions of certain datasets for fast iteration.
Some Python Implementations of the Kalman Filter
2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit
Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.