This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario. Papers are listed in alphabetical order of the first character.
Note: I find it hard to fairly compare all methods on each benchmark since some published results are obtained without specified training and testing settings, or even modified model architectures. In fact, many works evaluate all baselines under their own settings and report them. Therefore, it is probably to find inconsistency between papers. Hence, I discard the collection and reproducton of all the benchmarks in a previous update. If you are interested, you can find plenty of results in this archived version.
Note: {Related} denotes that it is not a pure collaborative perception paper but has related content.
Note: {Real} denotes that the sensor data is obtained by real-world collection instead of simulation.