Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling

20 December 2016

Papers citing "Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling"

22 / 22 papers shown

Title
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma Brandon Zhao Chaofan Chen Cynthia Rudin 34 27 0 28 Oct 2023
HazardNet: Road Debris Detection by Augmentation of Synthetic Models Tae Eun Choe Jane Wu Xiao-Hui Lin Karen Kwon Min-Gyu Park 38 3 0 14 Mar 2023
TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories Jannik Zürn Sebastian Weber Wolfram Burgard 42 5 0 12 Sep 2022
Uncertainty Quantification for nonparametric regression using Empirical Bayesian neural networks Stefan Franssen Botond Szabó BDL UQCV 21 4 0 27 Apr 2022
Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression Feng Xue Anlong Ming Yu Zhou 23 17 0 17 Nov 2021
Surrogate Model-Based Explainability Methods for Point Cloud NNs Hanxiao Tan Helena Kotthaus 3DPC 28 26 0 28 Jul 2021
Evaluation of Multimodal Semantic Segmentation using RGB-D Data Jiesi Hu Ganning Zhao Suya You C.-C. Jay Kuo 37 3 0 31 Mar 2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches Jasmin Breitenstein Jan-Aike Termöhlen Daniel Lipinski Tim Fingscheidt AAML 30 35 0 11 Feb 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 53 43 0 15 Jan 2021
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 33 14 0 04 Nov 2020
Road surface detection and differentiation considering surface damages Thiago Rateke A. V. Wangenheim 25 56 0 23 Jun 2020
LiDAR guided Small obstacle Segmentation Aasheesh Singh Aditya Kamireddypalli Vineet Gandhi K. M. Krishna 10 23 0 12 Mar 2020
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization Yifei Min Lin Chen Amin Karbasi AAML 37 69 0 25 Feb 2020
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images Lei Sun Kailun Yang Xinxin Hu Weijian Hu Kaiwei Wang SSeg 18 130 0 24 Feb 2020
On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-sensing and Vision-based Analysis, Evaluations, and Insights Siddharth Siddharth Mohan M. Trivedi 32 11 0 30 Sep 2019
Small Obstacle Avoidance Based on RGB-D Semantic Segmentation Minjie Hua Yibing Nan Kai Wang SSeg 24 26 0 30 Aug 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 27 187 0 29 May 2019
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges Di Feng Christian Haase-Schuetz Lars Rosenbaum Heinz Hertlein Claudius Gläser Fabian Duffhauss W. Wiesbeck Klaus C. J. Dietmayer 3DPC 41 989 0 21 Feb 2019
Information Measure Similarity Theory: Message Importance Measure via Shannon Entropy R. She Shanyun Liu Pingyi Fan 14 1 0 04 Jan 2019
MergeNet: A Deep Net Architecture for Small Obstacle Discovery Krishnam Gupta Syed Ashar Javed Vineet Gandhi Madhava Krishna 22 25 0 17 Mar 2018
Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots Chen-lei Zhou Jiaolong Yang Chunshui Zhao G. Hua 29 16 0 14 Aug 2017
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition Zifeng Wu Chunhua Shen Anton Van Den Hengel SSeg 260 1,494 0 30 Nov 2016