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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 401–450 of 514 papers

TitleStatusHype
StarNet: Targeted Computation for Object Detection in Point Clouds—0
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
Neural Image Compression and ExplanationCode0
Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization—0
To Learn or Not to Learn: Visual Localization from Essential Matrices—0
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles—0
End-to-end sensor modeling for LiDAR Point Cloud—0
Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations—0
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving—0
A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement LearningCode0
Deep Learning in the Automotive Industry: Recent Advances and Application Examples—0
LioNets: Local Interpretation of Neural Networks through Penultimate Layer DecodingCode0
Lidar based Detection and Classification of Pedestrians and Vehicles Using Machine Learning Methods—0
On Single Source Robustness in Deep Fusion ModelsCode0
Novelty Detection via Network Saliency in Visual-based Deep Learning—0
Key Ingredients of Self-Driving Cars—0
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images—0
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?—0
Asymptotically Unambitious Artificial General Intelligence—0
Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural NetworksCode0
Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis—0
Mitigating Deep Learning Vulnerabilities from Adversarial Examples Attack in the Cybersecurity Domain—0
Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution—0
Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars—0
On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks -- An Optimal Power Flow ApproachCode0
Teaching AI, Ethics, Law and Policy—0
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANsCode0
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction—0
Synthetic Examples Improve Generalization for Rare Classes—0
A Robust Learning Approach to Domain Adaptive Object DetectionCode0
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR SequencesCode0
Understanding the Limitations of CNN-based Absolute Camera Pose RegressionCode0
PifPaf: Composite Fields for Human Pose EstimationCode0
TamperNN: Efficient Tampering Detection of Deployed Neural Nets—0
Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks—0
Towards Self-Supervised High Level Sensor Fusion—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space—0
Input Prioritization for Testing Neural NetworksCode0
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability—0
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles—0
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control—0
Self-Supervised Learning of Depth and Camera Motion from 360° Videos—0
Two-stream convolutional networks for end-to-end learning of self-driving cars—0
Learning Dense Stereo Matching for Digital Surface Models from Satellite Imagery—0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
Learning Tractable Probabilistic Models for Moral Responsibility and Blame—0
Triply Supervised Decoder Networks for Joint Detection and Segmentation—0
Combined Image- and World-Space Tracking in Traffic Scenes—0
Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis—0
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