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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

Showing 176200 of 514 papers

TitleStatusHype
A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement LearningCode0
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban DrivingCode0
Detecting and Mitigating System-Level Anomalies of Vision-Based ControllersCode0
A Game-Based Approximate Verification of Deep Neural Networks with Provable GuaranteesCode0
Imitation Learning with Human Eye Gaze via Multi-Objective PredictionCode0
A*3D Dataset: Towards Autonomous Driving in Challenging EnvironmentsCode0
DeepXplore: Automated Whitebox Testing of Deep Learning SystemsCode0
FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation FunctionsCode0
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image CompositingCode0
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR SequencesCode0
Fixes That Fail: Self-Defeating Improvements in Machine-Learning SystemsCode0
Giving Commands to a Self-Driving Car: How to Deal with Uncertain Situations?Code0
Deep Learning in the Automotive Industry: Recent Advances and Application Examples0
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus0
Deep Learning for Flight Demand Forecasting0
Deep Generative Models for Vehicle Speed Trajectories0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges0
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction0
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network0
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time0
Dataset Curation Beyond Accuracy0
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars0
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization0
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars0
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks0
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