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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 251–300 of 514 papers

TitleStatusHype
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation FunctionsCode0
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles—0
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving SystemsCode0
Deep Generative Models for Vehicle Speed Trajectories—0
Predicting Physical World Destinations for Commands Given to Self-Driving CarsCode0
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges—0
Using Convolutional Neural Networks for fault analysis and alleviation in accelerator systems—0
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban DrivingCode0
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering—0
Scene Graph Generation with Geometric Context—0
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots—0
Learning to Be Cautious—0
Bayesian Optimization and Deep Learning forsteering wheel angle prediction—0
NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences—0
Classification of Time-Series Data Using Boosted Decision TreesCode0
You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors—0
Improving and Assessing Anomaly Detectors for Large-Scale Settings—0
FastEnsemble: Benchmarking and Accelerating Ensemble-based Uncertainty Estimation for Image-to-Image Translation—0
Online Adaptation of Parameters using GRU-based Neural Network with BO for Accurate Driving Model—0
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning—0
Security Analysis of Capsule Network Inference using Horizontal Collaboration—0
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time—0
Open-World Active Learning with Stacking Ensemble for Self-Driving Cars—0
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization—0
On the Interplay between Self-Driving Cars and Public Transportation—0
Towards better data discovery and collection with flow-based programmingCode0
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study—0
Pseudo-LiDAR Based Road Detection—0
AA3DNet: Attention Augmented Real Time 3D Object Detection—0
Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos—0
On the Importance of Regularisation & Auxiliary Information in OOD DetectionCode0
Diff-Net: Image Feature Difference based High-Definition Map Change Detection for Autonomous Driving—0
Real-Time Pothole Detection Using Deep Learning—0
MSN: Multi-Style Network for Trajectory PredictionCode0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey—0
Introvert: Human Trajectory Prediction via Conditional 3D Attention—0
Time-series Imputation of Temporally-occluded Multiagent Trajectories—0
Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations?Code0
Multi-Exit Semantic Segmentation Networks—0
SpecRepair: Counter-Example Guided Safety Repair of Deep Neural NetworksCode0
On the Theory of Reinforcement Learning with Once-per-Episode Feedback—0
Inferring Temporal Logic Properties from Data using Boosted Decision Trees—0
Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving—0
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention—0
Algorithmic Ethics: Formalization and Verification of Autonomous Vehicle Obligations—0
Using Adaptive Gradient for Texture Learning in Single-View 3D Reconstruction—0
ACDC: The Adverse Conditions Dataset with Correspondences for Robust Semantic Driving Scene Perception—0
Scaling Beyond Bandwidth Limitations: Wireless Control With Stability Guarantees Under Overload—0
Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression—0
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