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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 151–175 of 514 papers

TitleStatusHype
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving—0
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving CarsCode0
Traffic Sign Recognition Using Local Vision Transformer—0
LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator—0
Pre-Training LiDAR-Based 3D Object Detectors Through ColorizationCode0
F^2AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
Extract-Transform-Load for Video StreamsCode0
CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression—0
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents—0
Detecting and Mitigating System-Level Anomalies of Vision-Based ControllersCode0
Unsupervised Domain Adaptation for Self-Driving from Past Traversal FeaturesCode0
DAD++: Improved Data-free Test Time Adversarial DefenseCode0
R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision—0
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models—0
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise—0
Small, but important: Traffic light proposals for detecting small traffic lights and beyond—0
An Estimator for the Sensitivity to Perturbations of Deep Neural Networks—0
Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning—0
Human Trajectory Forecasting with Explainable Behavioral Uncertainty—0
Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities—0
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence—0
AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars—0
Pedestrian detection with high-resolution event camera—0
Improving Defensive Distillation using Teacher Assistant—0
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