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Thank U for ur great works! Could you plz show me more technical details and when will the related codes be released?
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Hi,
I am currently conducting research on data sharing optimization in collaborative perception among Autonomous Vehicles (AVs). To facilitate my work, I have utilized the coperception library in con…
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- Workout a simple factory layout environment that includes people, conveyor belts, robotic arms, AMRs, racks with labelled boxes (with bar codes), infrastructure cameras, various sensors (RF, IMU, on…
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Post questions about the following exemplary reading here:
3. Salesses, Philip, Katja Schechtner, and César Hidalgo. 2013. [“The Collaborative Image of The City: Mapping the Inequality of Urban Pe…
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Post questions about the following exemplary reading here:
Salesses, Philip, Katja Schechtner, and César Hidalgo. 2013. “[The Collaborative Image of The City: Mapping the Inequality of Urban Percep…
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Salesses, Philip, Katja Schechtner, and César Hidalgo. 2013. [“The Collaborative Image of The City: Mapping the Inequality of Urban Perception.”](https://journals.plos.org/plosone/article?id=10.1371/…
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Hi! I came across your remarkable work and have developed a keen interest in it recently. I have some questions regarding the channel modeling parameters and their corresponding code implementation.
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I have already reproudced your result in DAIR-V2X and received expected results. However, in your paper you claimed to use both camera and LiDAR as input, while in this repository you only loaded the …
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Hi, thanks for your inspiring work. Such a framework is really useful for the community of collaborative perception.
I want to reproduce the results in the paper, so I run "python opencood/tools/tr…
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**Why is this needed**:
Lifelong Learning is an important feature for Sedna, which aims to make the inference robust across various scenarios, e.g., the thermal comfort prediction in different ci…