Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving

1 February 2020

Papers citing "Leveraging Uncertainties for Deep Multi-modal Object Detection in Autonomous Driving"

8 / 8 papers shown

Title
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection Aditya Taparia Noel Ngu Mario Leiva Joshua Shay Kricheli John Corcoran Nathaniel D. Bastian Gerardo Simari Paulo Shakarian Ransalu Senanayake ObjD 27 0 0 19 May 2025
Informative Data Selection with Uncertainty for Multi-modal Object Detection Jiahui Geng Zhiwei Li Zhenhong Zou Xinchen Gao Yijin Xiong Dafeng Jin Jun Li Huaping Liu 35 5 0 23 Apr 2023
Generating Evidential BEV Maps in Continuous Driving Space Yunshuang Yuan Hao Cheng M. Yang Monika Sester 36 10 0 06 Feb 2023
Priors are Powerful: Improving a Transformer for Multi-camera 3D Detection with 2D Priors Di Feng Francesco Ferroni ViT 24 1 0 31 Jan 2023
Deep Continuous Fusion for Multi-Sensor 3D Object Detection Ming Liang Binh Yang Shenlong Wang R. Urtasun 3DPC 208 841 0 20 Dec 2020
A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving Di Feng Ali Harakeh Steven Waslander Klaus C. J. Dietmayer AAML UQCV EDL 24 224 0 20 Nov 2020
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections Michael Ulrich Claudius Gläser Fabian Timm 38 27 0 19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,695 0 05 Dec 2016