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related paper
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|Semantic image segmentation is a basic street scene understanding task in autonomous driving, where each pixel in a high resolution image is categorized into a set of se…
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### Checklist
- [X] I've read the [contribution guidelines](https://github.com/autowarefoundation/autoware/blob/main/CONTRIBUTING.md).
- [X] I've searched other issues and no duplicate issues were…
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The goal is to figure out:
1. The most commonly used latest, such as YOLO family models, models used for object detection/tracking.
2. The most commonly used preprocessing operations to train thes…
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Hi Amini, thanks for sharing the surprising and very useful project. I am very intresting in the data-driven simulation of RGB camera. So I read your paper 'Learning Robust Control Policies for End-to…
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Real-Time Navigation System for a Low-Cost Mobile Robot with an RGB-D Camera. (arXiv:2103.03054v1 [cs.RO])
https://ift.tt/2PpC9x1
Currently, mobile robots are developing rapidly and are finding numero…
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A Survey on Simulators for Testing Self-Driving Cars. (arXiv:2101.05337v1 [cs.RO])
https://ift.tt/3nN7Bkp
A rigorous and comprehensive testing plays a key role in training self-driving cars to handle …
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Hi, thank you for you work.
It seems that the same GPS data is used in both train and test procedure. In the paper says other position sources such as odometry can be used. should i use relative pose…
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Contribute ideas, articles, projects that would help select best sensors for different configurations of SDCs.
Best ideas will be integrated in the OSSDC Hacking Book.
We prefer affordable sensors tha…
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End-to-end Interpretable Neural Motion Planner. (arXiv:2101.06679v1 [cs.CV])
https://ift.tt/2KpUR5w
In this paper, we propose a neural motion planner (NMP) for learning to drive autonomously in comple…
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