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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 201–250 of 514 papers

TitleStatusHype
Feudal Steering: Hierarchical Learning for Steering Angle Prediction—0
Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning—0
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving—0
Combined Image- and World-Space Tracking in Traffic Scenes—0
Formal Verification of End-to-End Learning in Cyber-Physical Systems: Progress and Challenges—0
FRSign: A Large-Scale Traffic Light Dataset for Autonomous Trains—0
Learning Dense Stereo Matching for Digital Surface Models from Satellite Imagery—0
End-to-end sensor modeling for LiDAR Point Cloud—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars—0
AutoPreview: A Framework for Autopilot Behavior Understanding—0
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images—0
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars—0
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?—0
GINN: Fast GPU-TEE Based Integrity for Neural Network Training—0
Context Aware Road-user Importance Estimation (iCARE)—0
GLADAS: Gesture Learning for Advanced Driver Assistance Systems—0
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment—0
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering—0
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents—0
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles—0
Embedded Development Boards for Edge-AI: A Comprehensive Report—0
Ego-Lane Analysis System (ELAS): Dataset and Algorithms—0
Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles—0
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts—0
How far should self-driving cars see? Effect of observation range on vehicle self-localization—0
Human Trajectory Forecasting with Explainable Behavioral Uncertainty—0
Human Trajectory Prediction With Momentary Observation—0
Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving—0
Hybrid Scene Compression for Visual Localization—0
Hyperbolic Uncertainty Aware Semantic Segmentation—0
Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition—0
Image segmentation of cross-country scenes captured in IR spectrum—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training—0
Importance Filtering with Risk Models for Complex Driving Situations—0
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection—0
Improving and Assessing Anomaly Detectors for Large-Scale Settings—0
Improving Defensive Distillation using Teacher Assistant—0
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise—0
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars—0
Inferring Temporal Logic Properties from Data using Boosted Decision Trees—0
LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator—0
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning—0
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention—0
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention—0
Cognitive Level-k Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving—0
Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning—0
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence—0
Efficient Image Evidence Analysis of CNN Classification Results—0
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