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docs/assets/vehicles.md

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<figcaption>Lexus</figcaption>
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</figure>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/dlljhM7CWtI?si=4jBqlPoRq89P07O9" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/FmAkOa9vDyY?si=1MDCRIBAIX-M5OMR" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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# Nissan Leaf
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**Sensors**: 2x Ouster OS1-64 LIDAR, 2x Velodyne VLP16 LIDAR, SICK LMS111 LIDAR, Stereolabs Zed / Zed2
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<figcaption>Nissan Leaf</figcaption>
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</figure>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/9eFqsei1J70?si=Y9rnsmGnoiofxhiz" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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# Traffic Cone Manipulation Robot
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**Sensors**: Intel RealSense RGB-D camera, IMU, GPS(GNSS)
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<figure markdown="span">
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![Image title](/assets/images_common/robot_traffic_cone01.png){ width="60%" }
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<figcaption>Traffic Cone Manipulation Robot</figcaption>
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</figure>
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# Szenergy
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**Sensors**: Ouster OS1-128 LIDAR, SICK LMS111 LIDAR, Stereolabs Zed2i
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![Image title](https://raw.githubusercontent.com/robotverseny/robotverseny.github.io/main/img/f1tenth_wheeltec_roboworks01.png){ width="60%" }
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</figure>
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# Traffic Cone Manipulation Robot
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**Sensors**: Intel RealSense RGB-D camera, IMU, GPS(GNSS)
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<figure markdown="span">
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![Image title](/assets/images_common/robot_traffic_cone01.png){ width="60%" }
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<figcaption>Traffic Cone Manipulation Robot</figcaption>
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</figure>

docs/home/videos.md

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<iframe width="560" height="315" src="https://www.youtube.com/embed/prM2pjRszE0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/9eFqsei1J70" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/oRzH-grBsKY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/dlljhM7CWtI?si=4jBqlPoRq89P07O9" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/FmAkOa9vDyY?si=1MDCRIBAIX-M5OMR" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

docs/index.md

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![](/img/jkk00.svg)
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<iframe width="560" height="315" src="https://www.youtube.com/embed/dlljhM7CWtI?si=4jBqlPoRq89P07O9" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

docs/papers/index.md

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| @igneczi2024curve | [![](https://img.shields.io/github/stars/gfigneczi1/hlb)<br/>github.com/gfigneczi1/hlb](https://github.com/gfigneczi1/hlb)
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| @enisz2024kalman | [![](https://img.shields.io/github/stars/jkk-research/kalman_pos)<br/>github.com/jkk-research/kalman_pos](https://github.com/jkk-research/kalman_pos)
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| @machines11121079 | [![](https://img.shields.io/github/stars/jkk-research/pos-prediction)<br/>github.com/jkk-research/pos-prediction](https://github.com/jkk-research/pos-prediction)
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|<img width=200/>|<img width=600/>
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| @Razdan2025ProductAssurance | Technical report, no code repository available
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refs.bib

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@techreport{Razdan2025ProductAssurance,
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author = {Razdan, Rahul and Akbas, M.\ Ilhan and Alsweiss, Suleiman O. and Cheatham, Angela and Ford, Kenneth and Horváth, Ernő and Kandel, Laxima Niure and Musa, Mohammad and Sell, Raivo and Tóth, Bálint},
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title = {Product Assurance in the Age of Artificial Intelligence},
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type = {Technical Report},
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institution = {SAE International},
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year = {2025},
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pages = {17},
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doi = {10.4271/EPR2025011},
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url = {https://saemobilus.sae.org/reports/product-assurance-age-artificial-intelligence-epr2025011},
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}
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@INPROCEEDINGS{FerencIgneczi202493,
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author = {Ferenc Ignéczi, Gergő and Horváth, Ernő and Borsos, Attila},
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title = {Analysis of Drivers’ Path Follow Behaviour},

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