Research papers · Posted 2026.10.16 · Publication / acceptance: author-reported
Expand-and-Prune: Test-Time Candidate-Space Adaptation for End-to-End Autonomous Driving
Expand-and-Prune: Test-Time Candidate-Space Adaptation for End-to-End Autonomous Driving
Overview
Expand-and-Prune adapts trajectory candidates at test time without changing learned parameters. It adds intent-guided and temporally propagated candidates, then prunes using prediction uncertainty, with evaluations across multiple autonomous-driving planners.
Publication and version information
Publication, acceptance or venue information is author-reported on arXiv. The exact source wording is preserved below.
Author-supplied source information
Author-supplied information on arXiv.
Accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2027
Version: arXiv v1 — manuscript revision