自动驾驶

OpenGraph: Open-Vocabulary Hierarchical 3D Graph Representation in Large-Scale Outdoor Environments

Yinan Deng, Jiahui Wang, Jingyu Zhao, Xinyu Tian, Guangyan Chen, Yi Yang, Yufeng Yue

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV、cs.AI

Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection System

Hoang Viet Pham, Thinh Gia Tran, Chuong Dinh Le, An Dinh Le, Hien Bich Vo

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、eess.IV、cs.AI

Comments Accepted in Future of Information and Communication Conference (FICC) 2024

Conditioning Latent-Space Clusters for Real-World Anomaly Classification

Daniel Bogdoll, Svetlana Pavlitska, Simon Klaus, J. Marius Zöllner

专题命中 感知 ：autonomous driving(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments Daniel Bogdoll, Svetlana Pavlitska, and Simon Klaus contributed equally. Accepted for publication at SSCI 2023

EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI

Tai Wang, Xiaohan Mao, Chenming Zhu, Runsen Xu, Ruiyuan Lyu, Peisen Li, Xiao Chen, Wenwei Zhang, Kai Chen, Tianfan Xue, Xihui Liu, Cewu Lu, Dahua Lin, Jiangmiao Pang

专题命中 感知 ：occupancy(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments A multi-modal, ego-centric 3D perception dataset and benchmark for holistic 3D scene understanding. Project page: http://tai-wang.github.io/embodiedscan

CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers

Jiaming Zhang, Huayao Liu, Kailun Yang, Xinxin Hu, Ruiping Liu, Rainer Stiefelhagen

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV、eess.IV

Comments Accepted to IEEE Transactions on Intelligent Transportation Systems (T-ITS). The source code of CMX is publicly available at https://github.com/huaaaliu/RGBX_Semantic_Segmentation

Semantic Communication for Cooperative Perception based on Importance Map

Yucheng Sheng, Hao Ye, Le Liang, Shi Jin, Geoffrey Ye Li

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)

Comments 13 pages,22 figures;journal;submitted for possible publication

Doubly Robust Self-Training

Banghua Zhu, Mingyu Ding, Philip Jacobson, Ming Wu, Wei Zhan, Michael Jordan, Jiantao Jiao

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、eess.IV、cs.AI

V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network

Caizhen He, Hai Wang, Long Chen, Tong Luo, Yingfeng Cai

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV、cs.AI

Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow

Sizhe Wei, Yuxi Wei, Yue Hu, Yifan Lu, Yiqi Zhong, Siheng Chen, Ya Zhang

专题命中 感知 ：BEV(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments 16 pages, 9 figures. Accepted by NeurIPS 2023

Deep Learning-Based Connector Detection for Robotized Assembly of Automotive Wire Harnesses

Hao Wang, Björn Johansson

专题命中 感知 ：autonomous driving(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments This paper has been accepted by IEEE CASE 2023 and has been presented on the conference. The information of the published version will be updated later

Journal ref 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 2023, pp. 1-8

Superefficient microcombs at the wafer level

Marcello Girardi, Óskar B. Helgason, Carmen H. López Ortega, Israel Rebolledo-Salgado, Victor Torres-Company

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)

Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection

Patrick Palmer, Martin Krueger, Richard Altendorfer, Torsten Bertram

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments Published at: AmE 2023 - Automotive meets Electronics; 14. GMM Symposium (https://ieeexplore.ieee.org/document/10227711)

Among Us: Adversarially Robust Collaborative Perception by Consensus

Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Juefei-Xu, Chen Feng

专题命中 感知 ：autonomous driving(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments Accepted by ICCV 2023

Exploiting Sparsity in Automotive Radar Object Detection Networks

Marius Lippke, Maurice Quach, Sascha Braun, Daniel Köhler, Michael Ulrich, Bastian Bischoff, Wei Yap Tan

专题命中 感知 ：autonomous driving(abstract)；分类 cs.RO、cs.CV、cs.AI

Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment

Hendrik Vogt, Stefan Buehler, Mark Schutera

专题命中 感知 ：autonomous driving(abstract)；分类 cs.RO、cs.CV、cs.AI

Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar

Patrick Palmer, Martin Krueger, Richard Altendorfer, Ganesh Adam, Torsten Bertram

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments Published at CVPR 2023 Workshop on 3D Vision and Robotics (https://drive.google.com/file/d/1xj4R5ucH3PaR7QdRDJbbkjS-3iBUsruR/view)

A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception

Ce Zhang, Azim Eskandarian

专题命中 感知 ：autonomous driving(abstract)；分类 cs.RO、cs.CV、eess.IV

Comments Accepted by IEEE Transactions on Intelligent Transportation Systems

Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion

Sara Hatami Gazani, Fardad Dadboud, Miodrag Bolic, Iraj Mantegh, Homayoun Najjaran

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments 6 pages, 7 figures, submitted to IEEE SMC 2023

A System for Generalized 3D Multi-Object Search

Kaiyu Zheng, Anirudha Paul, Stefanie Tellex

专题命中 感知 ：occupancy(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments 8 pages, 9 figures, 1 table. IEEE Conference on Robotics and Automation (ICRA) 2023

Self-Supervised Learning based Depth Estimation from Monocular Images

Mayank Poddar, Akash Mishra, Mohit Kewlani, Haoyang Pei

专题命中 感知 ：self-driving(abstract)；分类 cs.RO、cs.CV、cs.AI

RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking

Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang

专题命中 感知 ：autonomous driving(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments AAAI 2023 (Oral)

You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings

Timothy Chase, Chris Gnam, John Crassidis, Karthik Dantu

专题命中 感知 ：autonomous driving(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments To be published in proceedings of AAS/AIAA Astrodynamics Specialist Conference 2022

Virtual Reality via Object Pose Estimation and Active Learning: Realizing Telepresence Robots with Aerial Manipulation Capabilities

Jongseok Lee, Ribin Balachandran, Konstantin Kondak, Andre Coelho, Marco De Stefano, Matthias Humt, Jianxiang Feng, Tamim Asfour, Rudolph Triebel

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments Accepted to Field Robotics

Chaotic microcomb inertia-free parallel ranging

Anton Lukashchuk, Johann Riemensberger, Anton Stroganov, Gabriele Navickaite, Tobias J. Kippenberg

专题命中 感知 ：autonomous driving(abstract)；LiDAR(abstract)

Multi-level and multi-modal feature fusion for accurate 3D object detection in Connected and Automated Vehicles

Yiming Hou, Mahdi Rezaei, Richard Romano

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV、eess.IV

CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer

Youngseok Kim, Sanmin Kim, Jun Won Choi, Dongsuk Kum

专题命中 感知 ：LiDAR(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI'23)

Potential Auto-driving Threat: Universal Rain-removal Attack

Jinchegn Hu, Jihao Li, Zhuoran Hou, Jingjing Jiang, Cunjia Liu, Yuanjian Zhang

专题命中 感知 ：autonomous driving(abstract)；分类 cs.CV、eess.IV、cs.AI

GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting

Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun

专题命中 感知 ：self-driving(abstract)；分类 cs.RO、cs.CV、cs.AI

PlanT: Explainable Planning Transformers via Object-Level Representations

Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger

专题命中 感知 ：self-driving(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments CoRL 2022. Project Page: https://www.katrinrenz.de/plant/

Review on Panoramic Imaging and Its Applications in Scene Understanding

Shaohua Gao, Kailun Yang, Hao Shi, Kaiwei Wang, Jian Bai

专题命中 感知 ：autonomous driving(abstract)；分类 cs.RO、cs.CV、eess.IV

Comments Accepted to IEEE Transactions on Instrumentation and Measurement. 34 pages, 15 figures, 420 references