一辆谷歌自动驾驶汽车首次造成车祸

谷歌引以为豪的是,它的自动驾驶车队从来没有对它的任何撞车事件负责——它们总是由另一种(显然更人为的)力量造成的——但这种情况可能已经改变了。根据作家马克·哈里斯(Mark Harris)首次报道的加州车管所(California DMV)的一份文件,谷歌(Google)的一辆雷克萨斯(Lexus)自动驾驶suv在低速行驶时撞上了一辆公交车。...

谷歌引以为豪的是,它的自动驾驶车队从来没有对它的任何撞车事件负责——它们总是由另一种(显然更人为的)力量造成的——但这种情况可能已经改变了。根据作家马克·哈里斯(Mark Harris)首次报道的加州车管所(California DMV)的一份文件,谷歌(Google)的一辆雷克萨斯(Lexus)自动驾驶suv在低速行驶时撞上了一辆公交车。

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以下是报告中对事件的完整描述:

A Google Lexus-model autonomous vehicle ("Google AV") was traveling in autonomous mode eastbound on El Camino Real in Mountain View in the far right-hand lane approaching the Castro St. intersection. As the Google AV approached the intersection, it signaled its intent to make a right turn on red onto Castro St. The Google AV then moved to the right-hand side of the lane to pass traffic in the same lane that was stopped at the intersection and proceeding straight. However, the Google AV had to come to a stop and go around sandbags positioned around a storm drain that were blocking its path. When the light turned green, traffic in the lane continued past the Google AV. After a few cars had passed, the Google AV began to proceed back into the center of the lane to pass the sand bags. A public transit bus was approaching from behind. The Google AV test driver saw the bus approaching in the left side mirror but believed the bus would stop or slow to allow the Google AV to continue. Approximately three seconds later, as the Google AV was reentering the center of the lane it made contact with the side of the bus. The Google AV was operating in autonomous mode and traveling at less than 2 mph, and the bus was travelling at about 15 mph at the time of contact.

The Google AV sustained body damage to the left front fender, the left front wheel and one of its driver’s -side sensors. There were no injuries reported at the scene.

Verge已经获得了谷歌下一份月度自动驾驶报告的摘录,该报告将于明天发布。谷歌在报告中说,这辆车假设公共汽车在试图重新融入交通时会屈服:

Our self-driving cars spend a lot of time on El Camino Real, a wide boulevard of three lanes in each direction that runs through Google’s hometown of Mountain View and up the peninsula along San Francisco Bay. With hundreds of sets of traffic lights and hundreds more intersecti***, this busy and historic artery has helped us learn a lot over the years. And on Valentine’s Day we ran into a tricky set of circumstances on El Camino that’s helped us improve an important skill for navigating similar roads.

El Camino has quite a few right-hand lanes wide enough to allow two lines of traffic. Most of the time it makes sense to drive in the middle of a lane. But when you’re teeing up a right-hand turn in a lane wide enough to handle two streams of traffic, annoyed traffic stacks up behind you. So several weeks ago we began giving the self-driving car the capabilities it needs to do what human drivers do: hug the rightmost side of the lane. This is the social norm because a turning vehicle often has to pause and wait for pedestrians; hugging the curb allows other drivers to continue on their way by passing on the left. It’s vital for us to develop advanced skills that respect not just the letter of the traffic code but the spirit of the road.

On February 14, our vehicle was driving autonomously and had pulled toward the right-hand curb to prepare for a right turn. It then detected sandbags near a storm drain blocking its path, so it needed to come to a stop. After waiting for some other vehicles to pass, our vehicle, still in autonomous mode, began angling back toward the center of the lane at around 2 mph – and made contact with the side of a passing bus traveling at 15 mph. Our car had detected the approaching bus, but predicted that it would yield to us because we were ahead of it. (You can read the details below in the report we submitted to the CA DMV.)

Our test driver, who had been watching the bus in the mirror, also expected the bus to slow or stop. And we can imagine the bus driver assumed we were going to stay put. Unfortunately, all these assumpti*** led us to the same spot in the lane at the same time. This type of misunderstanding happens between human drivers on the road every day.

This is a classic example of the negotiation that’s a normal part of driving – we’re all trying to predict each other’s movements. In this case, we clearly bear some resp***ibility, because if our car hadn’t moved there wouldn’t have been a collision. That said, our test driver believed the bus was going to slow or stop to allow us to merge into the traffic, and that there would be sufficient space to do that.

We’ve now reviewed this incident (and thousands of variati*** on it) in our simulator in detail and made refinements to our software. From now on, our cars will more deeply understand that buses (and other large vehicles) are less likely to yield to us than other types of vehicles, and we hope to handle situati*** like this more gracefully in the future.

公平地说,除非路上的每一辆车都是自动驾驶的,否则谷歌是对的:有一定程度的谈判,谈判中的错误假设是车祸可能发生的地方。我们离一条没有人类驾驶的道路还有很多很多年,在那之前,自动驾驶汽车偶尔会撞到东西。碰巧的是,这是第一次车祸直接归咎于汽车,而不是另一个司机在路上,这一切都回到了一点(令人惊讶的人类)错误的判断。

更新时间:2016年2月29日,美国东部时间下午2:39:在谷歌2月份自动驾驶报告的摘录中添加了详细的车祸细节。

  • 发表于 2021-05-03 16:35
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