{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/openlane-v2-a-topology-reasoning-benchmark-1","title":"OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping","arxiv_id":"2304.10440","date":"2023-04-20","proceeding":"NeurIPS 2023 11","authors":["Huijie Wang","Tianyu Li","Yang Li","Li Chen","Chonghao Sima","Zhenbo Liu","Bangjun Wang","Peijin Jia","Yuting Wang","Shengyin Jiang","Feng Wen","Hang Xu","Ping Luo","Junchi Yan","Wei zhang","Hongyang Li"],"abstract":"Accurately depicting the complex traffic scene is a vital component for autonomous vehicles to execute correct judgments. However, existing benchmarks tend to oversimplify the scene by solely focusing on lane perception tasks. Observing that human drivers rely on both lanes and traffic signals to operate their vehicles safely, we present OpenLane-V2, the first dataset on topology reasoning for traffic scene structure. The objective of the presented dataset is to advance research in understanding the structure of road scenes by examining the relationship between perceived entities, such as traffic elements and lanes. Leveraging existing datasets, OpenLane-V2 consists of 2,000 annotated road scenes that describe traffic elements and their correlation to the lanes. It comprises three primary sub-tasks, including the 3D lane detection inherited from OpenLane, accompanied by corresponding metrics to evaluate the model's performance. We evaluate various state-of-the-art methods, and present their quantitative and qualitative results on OpenLane-V2 to indicate future avenues for investigating topology reasoning in traffic scenes.","url_abs":"https://arxiv.org/abs/2304.10440v3","url_pdf":"https://arxiv.org/pdf/2304.10440v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"openlane-v2-a-topology-reasoning-benchmark-1","repo_url":"https://github.com/OpenDriveLab/OpenLane-V2","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"3d-lane-detection","task_name":"3D Lane Detection"},{"task_slug":"autonomous-vehicles","task_name":"Autonomous Vehicles"},{"task_slug":"lane-detection","task_name":"Lane Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2304.10440","atlas_url":"https://app.syntology.ai/?focus=2304.10440","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2304.10440"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/OpenDriveLab/OpenLane-V2","reach":null}],"summary":{"unverified":1},"by_repo_kind":{"official":{"samples":1,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"638bbc8622b34274","entry":"evaluate","repo":"OpenDriveLab/OpenLane-V2","repo_kind":"official","path":"openlanev2/centerline/evaluation/evaluate.py","file_url":"https://github.com/OpenDriveLab/OpenLane-V2/blob/HEAD/openlanev2/centerline/evaluation/evaluate.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"638bbc8622b34274"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}