dats a lotta dashesKai Red💎🪐🧜🏾‍♀️ (@kailaredwine):I see where you’re trying to go, but these are two different events. The intention behind them, the experience, the consequences, the cause and effect — they are not the same. They look similar on the surface because both were distasteful, but the comparison is none.Slavery ...

America’s Senate has passed the most consequential legislation of Donald Trump’s second term. These ten charts show what impact it could have on the country https://t.co/D2dZPiEKHA https://t.co/DrXwyCqLvV ...

Sweeping tax legislation passed by the Senate Tuesday would make it cheaper for semiconductor manufacturers to build plants in the US, delivering a win to chipmakers and boosting US efforts to expand the industry domestically. https://t.co/w6yGUUGxYL ...

jewish ppl got smoked by white ppl w/ the holocaust and came back & took over the entire global banking systemblack ppl got enslaved by white ppl & still ask the same racist systems of power for reparations three centuries later ...

重磅！预售来啦。面向科研&教学级自动驾驶全栈小车黑武士系列001正式开售了。世界太枯燥了， 和我们一起做点有意思的事情吧。 原价34999元，现在支付定金1000元抵扣2000，由于订单已经启 动，优先锁定的安排组装发货。 1）黑武士001 自动驾驶之心团队推出的教研一体轻量级解决方案，支持感知、定位、融合、导航、规划等多个功 能平台，阿克曼底盘。 2）效果展示 我们测试了室内、室外、地库等场景下感知、定位、融合、导航规划等功能； 整体功能介绍 户外公园行驶 本科生学习进阶+比赛；√ 研究生科研+发论文；√ 研究生找工作+项目；√ 高校实验室教具；√ 培训公司/职业院校教具；√ 点云3D目标检测 室内地库2D激光建图 室内地库3D激光建图 上下坡测试 室外大场景3D建图 室外夜间行驶 3）硬件说明 | 主要传感器 | 传感器说明 | | --- | --- | | 3D激光雷达 | Mid 360 | | 2D激光雷达 | 镭神智能 | | 深度相机 | 奥比中光，自带IMU | | 主控芯片 | Nvidia Orin NX 16G | | 显示器 | 1080p显示器 | | 底盘系统 | 阿克曼底盘 | ...

What if I told you that the leftovers on four planes are leading the push towards climate change. While we often don't think about hold waste on a daily basis, it's more connected to our lives than we realize. According to the United Nations School of Courts, approximately onethird of food produced is wasted while 828 million people go to bed hungry every night.Yet at the same time, the fossil fuel industry produces 36.8% million metric tons of carbon dioxide annually. These three crises, food waste, food i ...

Senate Republicans are moving forward with a plan to mask the $3.8 trillion cost of extending expiring tax cuts in President Donald Trump’s signature economic legislation by using an unprecedented accounting maneuver https://t.co/o6KJkzzstD ...

Senate Republicans restored major Medicaid cuts to Donald Trump’s signature economic legislation, re-fashioning a key provision to overcome a procedural obstacle https://t.co/La0032LECz ...

点击下方 卡片 ，关注" 自动驾驶之心 "公众号 戳我-> 领取 自动驾驶近15个 方向 学习 路线 4D标注之静态元素 这些天一直在思考一个问题：当下自动驾驶的技术发展，重建还有哪些应用？ 起因是身边做SLAM的小伙伴抱怨现在工作都找不到，SLAM的职业发展空间正在逐渐缩小。而且当下自动驾驶所需要的重建也在向前发展，不再是SLAM相关的技术 栈了。。。 回到问题本身，重建当下在4D标注 - 静态元素上的应用还是很广的，当然核心技术不再局限在SLAM上。车道线及静态障碍物标注，还是强依赖在重建图上标注的~2D 空间标注，每个时间戳下都需要再图像上进行标注，模型做语义分割+深度预测，这种方式耗时费力，实时上，只需要重建出3D静态场景，在重建3D场景中静态元素 只需标注一次。 重建的目的主要有两个： 输入：根据lidar或者多个周视摄像头重建得到的3D重建图 输出：矢量车道线及类别，单条车道线用多个有序点表示组成折线，例如一条车道线为（N,3），其中N为车道线点的数量，3为xyz空间坐标值 获取地面重建图2D（BEV+高度）车道线和地面标识； 重建静态点云 3D（静态障碍物）。 在梳理下重建的整体流程，这里面涉及 ...

testing something - do i have a mandarin speaking audience base? and does chatgpt translate these messages proper? pls respond chinese friends. ...