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cs.CV2026
ReVMap: Vectorized Global Mapping via Connectivity-Aware Local Map Fusion
Hongjae Shin, Jungho Kim, Donghyuk Kwak +4
Large-scale annotation of vectorized high-definition (HD) maps is labor-intensive and costly, motivating local-to-global auto-labeling approaches that incrementally construct globa…
cs.CV2026
SafeDrive: Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse World
Jungho Kim, Jiyong Oh, Seunghoon Yu +3
The end-to-end (E2E) paradigm, which maps sensor inputs directly to driving decisions, has recently attracted significant attention due to its unified modeling capability and scala…