With the advancement in computer vision deep learning, systems now are able to analyze an unprecedented amount of rich visual information from videos to enable applications such as autonomous driving, socially-aware robot assistant and public safety monitoring. Deciphering human behaviors to predict their...
这是一个基于概率规划的端到端驾驶模型。在CARLA模拟器中，VADv2运行稳定，并取得了目前最先进的闭环性...
(back to top) Competitions / Challenges End-to-End Driving at Scale, Foundation Models for Autonomous Systems, CVPR 2024 CARLA Autonomous Driving Challenge, Foundation Models for Autonomous Systems, CVPR 2024 nuPlan planning, Workshop on End-to-end Autonomous Driving, CVPR 2023 ...
代码:https://github.com/autonomousvision/transfuser autonomousvision.github.io/transfuser/ 论文地址:http://www.cvlibs.net/publications/Prakash2021CVPR.pdf 博客园外链(因为那边公式显示完整&主题比较优美 hhhh):【论文阅读】Multi-Modal Fusion Transformer for End-to-End Autonomous Driving 1. Motivation 问题...
A new evaluation metric to measure the distance to the front vehicle has been created and added to Behavior Metrics; an open-source autonomous driving assessment tool built on CARLA that performs experimental validations of autonomous driving solutions. 展开 关键词: End-to-end autonomous driving ...
Bench2Drive is a CARLA benchmark proposed by the paper Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. It consists of 220 very short (~150m) routes split across all towns with 1 safety critical scenario in each route. Since it uses all towns ...
Autonomous DrivingCARLA LeaderboardTransfuserDriving Score16.93# 16 Compare Route Completion51.82# 14 Compare Infraction penalty0.42# 18 Compare Semantic SegmentationKITTI-360TransFuser (RGB-LiDAR)mIoU56.57# 7 Compare Autonomous DrivingTown05 LongGeometric FusionRC69.17# 1 ...
例如Toromanoff等人[27],通过在城市环境中基于视觉的方法赢得CARLA 2019自动驾驶挑战赛来展示他们的能力,使用了单眼和立体视觉相机视图是图像到控制端到端驾驶的输入方式。Xiao等人[32]采用了由前视摄像头的单目RGB图像和车速组成的输入。使用条件模仿学习成功地生成了车道跟随、转弯和直线行驶的高级指令。
The trainedmodel is tested on the Carla’s autonomous driving benchmark.The results show that the Transformer detector based end-to-end model has obvious advantages in dynamic obstacle avoidancecompared with the traditional classif i er based end-to-end model.Index Terms—autonomous driving, ...
· route plan- ning for driving · surround-view cameras · driving dataset 1 Introduction Autonomous driving has seen dramatic advances in recent years, for instance for road scene parsing [1,2,3,4], lane following [5,6,7], path planning [8,9,10,11], and end-to- end driving models...