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Self-Driving Cars

Self-driving cars : the task of making a car that can drive itself without human guidance.

( Image credit: Learning a Driving Simulator )

Papers

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Showing 451–500 of 514 papers

TitleStatusHype
Evaluation of Neural Networks for Image Recognition Applications: Designing a 0-1 MILP Model of a CNN to create adversarials—0
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies—0
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars—0
Evil from Within: Machine Learning Backdoors through Hardware Trojans—0
Experimental and causal view on information integration in autonomous agents—0
Explainability in reinforcement learning: perspective and position—0
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges—0
Explainable deep learning improves human mental models of self-driving cars—0
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization—0
F^2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns—0
FaRO 2: an Open Source, Configurable Smart City Framework for Real-Time Distributed Vision and Biometric Systems—0
Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots—0
FastEnsemble: Benchmarking and Accelerating Ensemble-based Uncertainty Estimation for Image-to-Image Translation—0
Feature-Guided Black-Box Safety Testing of Deep Neural Networks—0
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface—0
Feudal Steering: Hierarchical Learning for Steering Angle Prediction—0
Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges—0
FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains—0
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images—0
Fully Dynamic Inference with Deep Neural Networks—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?—0
GINN: Fast GPU-TEE Based Integrity for Neural Network Training—0
GLADAS: Gesture Learning for Advanced Driver Assistance Systems—0
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment—0
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering—0
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents—0
High Resolution Millimeter Wave Imaging For Self-Driving Cars—0
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
Human Trajectory Forecasting with Explainable Behavioral Uncertainty—0
Human Trajectory Prediction With Momentary Observation—0
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving—0
Hybrid Scene Compression for Visual Localization—0
Hyperbolic Uncertainty Aware Semantic Segmentation—0
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition—0
Image segmentation of cross-country scenes captured in IR spectrum—0
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training—0
Importance Filtering with Risk Models for Complex Driving Situations—0
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection—0
Improving and Assessing Anomaly Detectors for Large-Scale Settings—0
Improving Defensive Distillation using Teacher Assistant—0
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise—0
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars—0
Inferring Temporal Logic Properties from Data using Boosted Decision Trees—0
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention—0
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention—0
Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning—0
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence—0
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