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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 351–400 of 514 papers

TitleStatusHype
AI Model Utilization Measurements For Finding Class Encoding Patterns—0
Algorithmic Ethics: Formalization and Verification of Autonomous Vehicle Obligations—0
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding—0
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles—0
A Multi-Level Hierarchical Framework for the Classification of Weather Conditions and Hazard Prediction—0
An Abstraction Model for Semantic Segmentation Algorithms—0
Analyzing Self-Driving Cars on Twitter—0
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning—0
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots—0
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks—0
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving—0
An NCAP-like Safety Indicator for Self-Driving Cars—0
Anomalous State Sequence Modeling to Enhance Safety in Reinforcement Learning—0
A Novel Graph based Trajectory Predictor with Pseudo Oracle—0
Application of Neuroevolution in Autonomous Cars—0
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars—0
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars—0
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction—0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
ArgRewrite V.2: an Annotated Argumentative Revisions Corpus—0
Artificial Intelligence and Statistics—0
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images—0
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection—0
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs—0
Asymptotically Unambitious Artificial General Intelligence—0
Attentional Bottleneck: Towards an Interpretable Deep Driving Network—0
Attention-based 3D Object Reconstruction from a Single Image—0
AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars—0
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy—0
Automatic Testing With Reusable Adversarial Agents—0
AutoCP: Automated Pipelines for Accurate Prediction Intervals—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars—0
AutoPreview: A Framework for Autopilot Behavior Understanding—0
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models—0
Bayesian Optimization and Deep Learning forsteering wheel angle prediction—0
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning—0
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression—0
Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars—0
Brain Inspired Cognitive Model with Attention for Self-Driving Cars—0
CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi—0
Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective—0
CLoCKDistill: Consistent Location-and-Context-aware Knowledge Distillation for DETRs—0
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles—0
Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning—0
Combined Image- and World-Space Tracking in Traffic Scenes—0
Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection—0
Computer Vision based Accident Detection for Autonomous Vehicles—0
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars—0
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