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| Document Title | Collision aversion technology for motorcycles | ||||||||
| Reference Number | GRVA-09-44 | ||||||||
| Date |
6 Feb 2021
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| Source(s) | Israel | ||||||||
| Rulemaking Area(s) | UN R171 DCAS | ||||||||
| Meeting(s) | |||||||||
| Downloads | |||||||||
| UNECE server | .pdf format | .pptx format | |||||||
| Excerpts from session reports related to this document | |||||||||
| GRVA | Session 9 | 1-5 Feb 2021 |
116. The expert from Israel, Chief Operating Officer of Ride Vision, presented GRVA-09-44 complementing the information already provided at the September 2020 session about the potential benefits of a AI powered collision warning system that can be retrofitted to motorcycles. |
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