A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

20 November 2020

Di Feng

Ali Harakeh

Steven Waslander

Klaus C. J. Dietmayer

Papers citing "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"

50 / 94 papers shown

Title
Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles Hanlin Chen Simin Chen Wenyu Li Wei Yang Yiheng Feng AAML 87 0 0 05 May 2025
A Decade of You Only Look Once (YOLO) for Object Detection Leo Thomas Ramos Angel D. Sappa 66 0 0 24 Apr 2025
Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems Haoxiang Tian Wenqiang Ding Xingshuo Han Guoquan Wu An Guo Junqi Zhang. Wei Chen Jun Wei Tianwei Zhang AAML 27 0 0 18 Apr 2025
A Review of YOLOv12: Attention-Based Enhancements vs. Previous Versions Rahima Khanam Muhammad Hussain 31 0 0 16 Apr 2025
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds Mahan Rafidashti Ji Lan M. Fatemi Junsheng Fu Lars Hammarstrand Lennart Svensson 39 0 0 01 Apr 2025
MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving Haiguang Wang Daqi Liu Hongwei Xie Haisong Liu Enhui Ma Kaicheng Yu Limin Wang Bing Wang VGen 67 0 0 20 Mar 2025
OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction Severin Heidrich Till Beemelmanns Alexey Nekrasov Bastian Leibe Lutz Eckstein 47 0 0 13 Mar 2025
PostHoc FREE Calibrating on Kolmogorov Arnold Networks Wenhao Liang W. Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen 57 0 0 03 Mar 2025
Bayesian Approximation-Based Trajectory Prediction and Tracking with 4D Radar Dong-In Kim Dong-Hee Paek Seung-Hyun Song Seung-Hyun Kong 44 0 0 03 Feb 2025
Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning Piotr A. Kowalski Szymon Kucharczyk Jacek Mańdziuk 26 0 0 28 Jan 2025
Wasserstein-regularized Conformal Prediction under General Distribution Shift Rui Xu Chao Chen Yue Sun Parvathinathan Venkitasubramaniam Sihong Xie 28 0 0 23 Jan 2025
DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains Fardad Dadboud Hamid Azad Varun Mehta M. Bolic Iraj Mntegh 67 0 0 06 Dec 2024
Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks Chen Zhou Peng Cheng Junfeng Fang Y. Zhang Yibo Yan X. Jia Yanyan Xu K. Wang Xiaochun Cao 76 0 0 27 Nov 2024
Interpreting Object-level Foundation Models via Visual Precision Search Ruoyu Chen Siyuan Liang Jingzhi Li Shiming Liu Maosen Li Zheng Huang Hua Zhang Xiaochun Cao FAtt 82 4 0 25 Nov 2024
OCDet: Object Center Detection via Bounding Box-Aware Heatmap Prediction on Edge Devices with NPUs Chen Xin T. Motz Andreas Hartel Enkelejda Kasneci 69 0 0 23 Nov 2024
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap Fusion Minghao Ning Ahmad Reza Alghooneh Chen Sun Ruihe Zhang Pouya Panahandeh Steven Tuer Ehsan Hashemi A. Khajepour 28 0 0 29 Oct 2024
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion Minkyoung Cho Yulong Cao Jiachen Sun Qingzhao Zhang Marco Pavone Jeong Joon Park Heng Yang Z. Morley Mao 20 0 0 16 Oct 2024
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles Tongfei Guo Rui Liu Lili Su 38 1 0 25 Sep 2024
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift Fabian Diet Moussa Kassem Sbeyti Michelle Karg 41 0 0 05 Sep 2024
UTrack: Multi-Object Tracking with Uncertain Detections Edgardo Solano-Carrillo Felix Sattler Antje Alex Alexander Klein Bruno Pereira Costa Ángel Bueno Rodríguez Jannis Stoppe VOT 34 1 0 30 Aug 2024
Convolutional Neural Network Compression Based on Low-Rank Decomposition Yaping He Linhao Jiang Di Wu 31 0 0 29 Aug 2024
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction Huiqun Huang Sihong He Fei Miao 45 0 0 17 Jun 2024
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection Qutub Syed Michael Paulitsch Korbinian Hagn Neslihan Kose Cihangir Kay-Ulrich Scholl Fabian Oboril Gereon Hinz Alois C. Knoll OODD 46 1 0 05 Jun 2024
Multi-Object Tracking based on Imaging Radar 3D Object Detection Patrick Palmer Martin Krüger R. Altendorfer Torsten Bertram 42 0 0 03 Jun 2024
Ambiguous Annotations: When is a Pedestrian not a Pedestrian? Luisa Schwirten Jannes Scholz Daniel Kondermann Janis Keuper 30 2 0 14 May 2024
Integrity Monitoring of 3D Object Detection in Automated Driving Systems using Raw Activation Patterns and Spatial Filtering Hakan Yekta Yatbaz M. Dianati K. Koufos Roger Woodman 33 0 0 13 May 2024
Efficient 4D Radar Data Auto-labeling Method using LiDAR-based Object Detection Network Min-Hyeok Sun Dong-Hee Paek Seung-Hyun Song Seung-Hyun Kong 28 2 0 13 May 2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning Ransalu Senanayake 32 8 0 06 May 2024
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness Hangtao Zhang Shengshan Hu Yichen Wang Leo Yu Zhang Ziqi Zhou Xianlong Wang Yanjun Zhang Chao Chen 17 2 0 17 Apr 2024
Criteria for Uncertainty-based Corner Cases Detection in Instance Segmentation Florian Heidecker A. El-khateeb Maarten Bieshaar Bernhard Sick 20 0 0 17 Apr 2024
Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns Hakan Yekta Yatbaz M. Dianati K. Koufos Roger Woodman 3DPC 14 2 0 11 Apr 2024
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture Juanwu Lu Can Cui Yunsheng Ma Aniket Bera Ziran Wang 39 1 0 04 Apr 2024
Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection Luiza Ribeiro Marnet Yury Brodskiy Stella Grasshof Andrzej Wasowski 19 2 0 20 Mar 2024
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction Alexander Timans C. Straehle K. Sakmann Eric T. Nalisnick 31 6 0 12 Mar 2024
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification L. E. Hogeweg R. Gangireddy D. Brunink Vincent J. Kalkman L. Cornelissen J. W. Kamminga OODD 27 6 0 11 Mar 2024
UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking Chang Won Lee Steven L. Waslander VOT 21 2 0 19 Feb 2024
Uncertainty Quantification via Stable Distribution Propagation Felix Petersen Aashwin Mishra Hilde Kuehne Christian Borgelt Oliver Deussen Mikhail Yurochkin UQCV 24 5 0 13 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review Anton Kuznietsov Balint Gyevnar Cheng Wang Steven Peters Stefano V. Albrecht XAI 26 26 0 08 Feb 2024
Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving Yueyuan Li Wei Yuan Songan Zhang Weihao Yan Qiyuan Shen Chunxiang Wang Ming Yang 32 32 0 18 Nov 2023
Out-of-distribution Object Detection through Bayesian Uncertainty Estimation Tianhao Zhang Shenglin Wang N. Bouaynaya R. Calinescu Lyudmila Mihaylova OODD 21 2 0 29 Oct 2023
You can have your ensemble and run it too -- Deep Ensembles Spread Over Time Isak Meding Alexander Bodin Adam Tonderski Joakim Johnander Christoffer Petersson Lennart Svensson OOD UQCV 11 1 0 20 Sep 2023
SATAY: A Streaming Architecture Toolflow for Accelerating YOLO Models on FPGA Devices Alexander Montgomerie-Corcoran Petros Toupas Zhewen Yu C. Bouganis 26 9 0 04 Sep 2023
Improving the performance of object detection by preserving label distribution Heewon Lee Sangtae Ahn ObjD 16 0 0 28 Aug 2023
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning A. Hekimoglu Michael Schmidt Alvaro Marcos-Ramiro 3DPC 21 10 0 17 Jul 2023
Active Learning for Object Detection with Non-Redundant Informative Sampling A. Hekimoglu A. Brucker A. Kayalı Michael Schmidt Alvaro Marcos-Ramiro 17 1 0 17 Jul 2023
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework Franziska Schwaiger A. Matic Karsten Roscher Stephan Günnemann 11 0 0 10 Jul 2023
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation Ravi Kakaiya Rakshith Sathish Ramanathan Sethuraman Debdoot Sheet 9 0 0 04 Jul 2023
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey Xinyi Liu Jinlong Li Jin Ma Huiming Sun Zhigang Xu Tianyu Zhang Hongkai Yu 48 22 0 26 Jun 2023
Multi-Task Consistency for Active Learning A. Hekimoglu Philipp Friedrich Walter Zimmer Michael Schmidt Alvaro Marcos-Ramiro Alois C. Knoll VLM 10 10 0 21 Jun 2023
A survey on deep learning approaches for data integration in autonomous driving system Xi Zhu Likang Wang Caifa Zhou Xiya Cao Yue Gong L. Chen 23 1 0 17 Jun 2023