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ENTITY OPV2V

OPV2V

PulseAugur coverage of OPV2V — every cluster mentioning OPV2V across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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7 over 90d
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Papers · 30d
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TIER MIX · 90D
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SENTIMENT · 30D

2 day(s) with sentiment data

RECENT · PAGE 1/1 · 7 TOTAL
  1. TOOL · CL_256863 ·

    LLM-based framework optimizes robot swarm perception

    Researchers have developed CoAdapt, a new framework that uses a Large Language Model (LLM) to manage collaborative perception in industrial Internet of Things (IIoT) robotic swarms. This LLM-driven approach dynamically …

  2. TOOL · CL_254496 ·

    New GT-Space framework unifies heterogeneous agent perception

    Researchers have introduced GT-Space, a novel framework designed to improve collaborative perception among autonomous agents with heterogeneous sensing capabilities. This approach constructs a common feature space using…

  3. TOOL · CL_206026 ·

    New framework enhances AI safety for intelligent transportation systems

    Researchers have developed a new framework called Hierarchical Multi-Scale Semantic-Aware Cooperative Perception (HMS-SCP) to improve the safety and efficiency of intelligent transportation systems. This framework addre…

  4. TOOL · CL_204135 ·

    New CoDS framework enhances collaborative perception with expert-driven detection

    Researchers have developed CoDS, a novel framework for robust collaborative perception in multi-agent systems. This approach addresses challenges posed by noisy data, such as pose errors and communication delays, which …

  5. RESEARCH · CL_147855 ·

    New TVB network enhances autonomous driving BEV segmentation

    Researchers have developed a novel transformer-based variational flow transformation network, named TVB, to improve bird's eye view (BEV) segmentation for autonomous driving. This method recasts the BEV segmentation pro…

  6. TOOL · CL_42536 ·

    Hyper-V2X framework estimates driving perception uncertainty

    Researchers have developed Hyper-V2X, a novel framework utilizing hypernetworks to estimate both epistemic and aleatoric uncertainties in cooperative semantic segmentation for autonomous driving. This approach condition…

  7. RESEARCH · CL_14086 ·

    BOLT module enables preparation-free heterogeneous cooperative perception

    Researchers have introduced BOLT, a novel module designed for preparation-free heterogeneous cooperative perception. This system allows independently trained agents to adapt their perception features online without prio…