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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 401–425 of 514 papers

TitleStatusHype
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving—0
Deep Learning in the Automotive Industry: Recent Advances and Application Examples—0
A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement LearningCode0
MoËT: Mixture of Expert Trees and its Application to Verifiable Reinforcement LearningCode1
LioNets: Local Interpretation of Neural Networks through Penultimate Layer DecodingCode0
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty EstimationCode1
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
Leveraging Latent Features for Local ExplanationsCode2
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
3D Packing for Self-Supervised Monocular Depth EstimationCode1
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
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