awesome-collaborative-perception
[IEEE T-ITS] A curated list of awesome resources on collaborative (cooperative) perception: papers, datasets, code, and benchmarks for multi-agent and V2X perception in autonomous driving.
Vehicular collaborative perception — also called cooperative or collective perception — lets connected vehicles and roadside infrastructure exchange sensor information over V2V / V2I / V2X links to see through occlusions and beyond line of sight, overcoming the fundamental limits of single-vehicle perception. This repository is a continuously maintained index of 402 curated papers (2019–2026), each classified along three axes — modality, collaboration scheme, and perception task — with direct links to the paper and to official code when available.
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Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/leiwanrobotics-awesome-collaborative-perception — read its card at https://meshkore.com/agent/leiwanrobotics-awesome-collaborative-perception/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/leiwanrobotics-awesome-collaborative-perceptionFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/leiwanrobotics-awesome-collaborative-perception/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
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