随笔分类 -  论文阅读

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主要是学术研究期间，读的论文记录
【论文阅读】自动驾驶光流任务 DeFlow: Decoder of Scene Flow Network in Autonomous Driving
摘要：再一次轮到讲自己的paper！耶，宣传一下自己的工作，顺便完成中文博客的解读 方便大家讨论。 Title Picture Reference and pictures paper: https://arxiv.org/abs/2401.16122 code: https://github.com/K 阅读全文
posted @ 2024-07-02 07:25 Kin_Zhang 阅读(288) 评论(0) 推荐(3)
【论文阅读】点云地图动态障碍物去除基准 A Dynamic Points Removal Benchmark in Point Cloud Maps
摘要：【论文阅读】点云地图动态障碍物去除基准 A Dynamic Points Removal Benchmark in Point Cloud Maps 终于一次轮到了讲自己的paper了 hahaha，写个中文的解读放在博客方便大家讨论 Title Picture Reference and pren 阅读全文
posted @ 2023-10-18 22:24 Kin_Zhang 阅读(1350) 评论(2) 推荐(1)
【论文阅读】RAL2020: UFOMap An Efficient Probabilistic 3D Mapping Framework That Embraces the Unknown
摘要：Last edited time: March 31, 2023 1:30 PM Reference and prenotes Paper link：https://ieeexplore.ieee.org/document/9158399 Code link：https://github.com/U 阅读全文
posted @ 2023-04-01 00:41 Kin_Zhang 阅读(527) 评论(1) 推荐(1)
【论文阅读】IROS2022: Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
摘要：0.参考与前言 完整题目： Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments 论文链接：https://arxiv.org/abs/2209.13172 代码链接：无 缩写：occupancy grid 阅读全文
posted @ 2023-02-22 23:33 Kin_Zhang 阅读(221) 评论(0) 推荐(0)
【论文阅读】RAL2022: Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments
摘要：0. 参考与前言 论文链接：https://ieeexplore.ieee.org/document/9812507 代码链接：https://github.com/PRBonn/make_it_dense vdbfusion同组所出，自监督的scan completion，第一幅非常直白的表明了这 阅读全文
posted @ 2023-01-07 00:00 Kin_Zhang 阅读(187) 评论(0) 推荐(0)
【论文阅读】ICRA2021: VDB-EDT An Efficient Euclidean Distance Transform Algorithm Based on VDB Data Struct
摘要：参考与前言 Summary: 浩哥推荐的一篇 无人机下的建图 and planning实验 Type: ICRA Year: 2021 论文链接：https://arxiv.org/abs/2105.04419 youtube presentation video：https://youtu.be/ 阅读全文
posted @ 2022-11-06 13:21 Kin_Zhang 阅读(462) 评论(0) 推荐(1)
【论文阅读】VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor Data
摘要：Type: Sensors Year: 2022 tag: Mapping 组织: Bonn 参考与前言 论文链接：https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838740/ 其他参考建议看一下本篇论文的对应reference paper处 代码链接： 阅读全文
posted @ 2022-10-28 10:50 Kin_Zhang 阅读(1042) 评论(2) 推荐(2)
【论文阅读】IROS2017: Voxblox & RAL2019: Voxblox++
摘要：IROS2017: Voxblox & RAL2019: Voxblox++ Status: Finished Type: RAL Year: 2019 组织/Sensor: ETH-ASL 参考与前言 此文档涵盖了两篇内容，从2017年IROS的voxblox到2019年RAL的voxblox++ 阅读全文
posted @ 2022-10-12 10:16 Kin_Zhang 阅读(809) 评论(0) 推荐(1)
【论文阅读】ICRA2022: Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency
摘要：Type: ICRA Year: 2022 tag: SLAM 参考与前言 论文链接：https://arxiv.org/abs/2109.10165 代码链接：https://github.com/ethz-asl/panoptic_mapping 1. Motivation 为了和环境内其他机器 阅读全文
posted @ 2022-09-16 18:44 Kin_Zhang 阅读(480) 评论(0) 推荐(0)
【论文阅读】RAL 2022: Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions
摘要：参考与前言 Status: Finished Type: RAL Year: 2022 论文链接：https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/mersch2022ral.pdf 代码链接：https://github.com/P 阅读全文
posted @ 2022-08-04 16:08 Kin_Zhang 阅读(259) 评论(0) 推荐(1)
【论文阅读】TRO 2021: Fail-Safe Motion Planning for Online Verification of Autonomous Vehicles Using Convex Optimization
摘要：参考与前言 Last edited time: August 3, 2022 10:04 AM Status: Reading Type: TRO Year: 2021 论文链接：https://ieeexplore.ieee.org/document/9302873 1. Motivation s 阅读全文
posted @ 2022-08-03 10:16 Kin_Zhang 阅读(409) 评论(0) 推荐(1)
【论文阅读】Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
摘要：参考与前言 Summary: leaderboard 现存第一名 TCP，非常simple的设置 取得了很好的效果 论文链接：Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet St 阅读全文
posted @ 2022-06-30 19:10 Kin_Zhang 阅读(789) 评论(0) 推荐(1)
【论文阅读】IROS2021: PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving
摘要：参考与前言 完整题目：PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving Summary: 用learning做warm start，然后使用优化进行求解，对比速度上 阅读全文
posted @ 2022-06-16 19:24 Kin_Zhang 阅读(207) 评论(0) 推荐(0)
【论文阅读】TRO2022: A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving
摘要：TRO2022: A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving Summary: 探讨planning过程中的优化问题求解，收敛的不确定性和求解的质量研究；转为混合证书整数优化问题作为非线性的初值，然后使得非 阅读全文
posted @ 2022-06-06 00:32 Kin_Zhang 阅读(502) 评论(0) 推荐(1)
【论文阅读】BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal
摘要：论文题目：BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers 参考与前言 arXiv 地址： BEVFormer: Learning B 阅读全文
posted @ 2022-05-11 20:30 Kin_Zhang 阅读(888) 评论(0) 推荐(0)
【论文阅读】ICLR 2022: Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
摘要：ICLR 2022: Scene Transformer: A unified architecture for predicting future trajectories of multiple agents Type: ICLR Year: 2022 组织: waymo 参考与前言 openr 阅读全文
posted @ 2022-04-05 22:08 Kin_Zhang 阅读(1190) 评论(0) 推荐(1)
【论文阅读】CVPR2021: MP3: A Unified Model to Map, Perceive, Predict and Plan
摘要：Sensor/组织: Uber Status: Reading Summary: 非常棒！端到端输出map中间态 一种建图 感知 预测 规划的通用框架 Type: CVPR Year: 2021 引用量: 20 参考与前言 论文链接： https://openaccess.thecvf.com/co 阅读全文
posted @ 2022-03-27 23:28 Kin_Zhang 阅读(967) 评论(0) 推荐(2)
【论文阅读】CVPR2022: Learning from all vehicles
摘要：Column: March 23, 2022 1:08 PM Last edited time: March 23, 2022 11:13 PM Sensor/组织: 现leaderboard第一名，RC上总分94分 前无古人后无来者 Status: Reading Summary: IL; 输出 阅读全文
posted @ 2022-03-23 23:32 Kin_Zhang 阅读(1706) 评论(0) 推荐(1)
【论文阅读】Causal Imitative Model for Autonomous Driving
摘要：Sensor/组织: EPFL Sharif University of Technology Status: Finished Summary: 看看框架图就行。高效缓解因果混淆问题，将因果作为学习输出前一层进行判断 Type: arXiv Year: 2021 参考与前言 主页： Causal 阅读全文
posted @ 2022-03-07 23:22 Kin_Zhang 阅读(347) 评论(0) 推荐(0)
【论文阅读】ICML2020: Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
摘要：Column: January 6, 2022 7:18 PM Last edited time: January 30, 2022 12:14 AM Sensor/组织: Oxford Status: Finished Summary: RIP out-of-distribution，怎样考虑不确 阅读全文
posted @ 2022-02-10 16:39 Kin_Zhang 阅读(172) 评论(0) 推荐(0)

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