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New VIPS benchmark enables realistic evaluation of cooperative autonomous driving

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced VIPS, a new benchmark for cooperative autonomous driving in Vehicle-to-Infrastructure (V2I) settings. VIPS utilizes a pseudo-simulation approach to enable scalable and realistic evaluation of decision-making robustness and error propagation, addressing limitations of existing open-loop and closed-loop methods. The benchmark is accompanied by CoS-V2X, a cooperative planning framework that employs sparse representations for efficient communication and decision-making with heterogeneous observations. AI

IMPACT Enables more realistic and scalable evaluation of cooperative autonomous driving systems, potentially accelerating development.

RANK_REASON The cluster describes a new benchmark and associated framework for autonomous driving research published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New VIPS benchmark enables realistic evaluation of cooperative autonomous driving

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The cluster describes a new benchmark and associated framework for autonomous driving research published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Hoonhee Cho, Jae-Young Kang, Giwon Lee, Hyemin Yang, Heejun Park, Kuk-Jin Yoon ·

    VIPS: Vehicle-Infrastructure Cooperative Planning Benchmark via Pseudo-Simulation

    arXiv:2609.02462v1 Announce Type: new Abstract: End-to-end autonomous driving in urban environments requires robust decision-making under partial observability and complex multi-agent interactions. Severe occlusions and dense traffic at intersections limit the perception capabili…

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