mapdr-eval
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map — Chang et al. (2024) (arXiv:2410.23780, 2024)
What this evaluates
Probes autonomous driving models' ability to extract lane-level traffic regulations from visual inputs and map them to vectorized HD map centerlines. It evaluates both rule extraction from image sequences and bipartite graph construction for rule-lane correspondence reasoning.
Datasets
- MapDR — total 18000; splits: unspecified (-1); repo https://github.com/MIV-XJTU/MapDR
Metrics
correspondence status(primary) — range: [0, 1]- Accuracy of the predicted binary adjacency matrix E_pred against the ground truth E_gold, where each element indicates the correspondence status between a rule and a lane centerline.
Input / output format
Input: Image sequences X={x_i}{i=1}^n and local vectorized HD map centerlines L={l_i}{i=1}^k.
Output: For rule extraction: a set of rules R={r_i}_{i=1}^m in key:value pairs. For correspondence: a bipartite graph G=(R∪L,E) with a binary adjacency matrix E⊆{0,1}^{m×k}.
Scoring recipe
def score(predictions, gold):
# predictions: list of rules, adjacency matrix E_pred (m x k)
# gold: list of rules, adjacency matrix E_gold (m x k)
# Align rule ordering if necessary, then compare adjacency matrices
correct = (E_pred == E_gold).sum()
total = E_pred.size
return correct / total
Common pitfalls
- Confusing the two sub-tasks: rule extraction (visual-to-text) and correspondence reasoning (text-to-graph).
- Assuming a fixed number of rules (m) or lanes (k) per instance, as both vary dynamically.
- Treating the bipartite adjacency matrix as directed or weighted, whereas the protocol specifies a strictly binary correspondence status.
Evidence (verbatim from paper)
The final correspondence forms a bipartite graph G=(R∪L,E), where E⊆{0,1}^{m×k} and the element E_ij in the i-th row and j-th column of matrix E represents the corresponding status between r_i and l_j.
Citation
@misc{chang2024mapdr,
title={Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map},
author={Chang et al. (2024)},
year={2024},
note={arXiv:2410.23780}
}
- arXiv: 2410.23780