- cross-posted to:
- [email protected]
- cross-posted to:
- [email protected]
Wapo journalist verifies that robotaxis fail to stop for pedestrians in marked crosswalk 7 out of 10 times. Waymo admitted that it follows “social norms” rather than laws.
The reason is likely to compete with Uber, 🤦
Wapo article: https://www.washingtonpost.com/technology/2024/12/30/waymo-pedestrians-robotaxi-crosswalks/
Cross-posted from: https://mastodon.uno/users/rivoluzioneurbanamobilita/statuses/113746178244368036
According to some cursory research (read: Google), obstacle avoidance uses ML to identify objects, and uses those identities to predict their behavior. That stage leaves room for the same unpredictability, doesn’t it? Say you only have 51% confidence that a “thing” is a pedestrian walking a bike, 49% that it’s a bike on the move. The former has right of way and the latter doesn’t. Or even 70/30. 90/10.
There’s some level where you have to set the confidence threshold to choose a course of action and you’ll be subject to some ML-derived unpredictability as confidence fluctuates around it… right?
In such situations, the car should take the safest action and assume it’s a pedestrian.
But mechanically that’s just moving the confidence threshold to 100% which is not achievable as far as I can tell. It quickly reduces to “all objects are pedestrians” which halts traffic.