SOTAVerified

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 1–25 of 514 papers

TitleStatusHype
Semantic and Feature Guided Uncertainty Quantification of Visual Localization for Autonomous Vehicles—0
Continual Hyperbolic Learning of Instances and Classes—0
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies—0
Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic SystemsCode0
Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection—0
Robusto-1 Dataset: Comparing Humans and VLMs on real out-of-distribution Autonomous Driving VQA from Peru—0
Enhancing Autonomous Driving Safety with Collision Scenario Integration—0
Enhanced Neuromorphic Semantic Segmentation Latency through Stream Event—0
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving—0
CLoCKDistill: Consistent Location-and-Context-aware Knowledge Distillation for DETRs—0
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene—0
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy—0
On Learning Informative Trajectory Embeddings for Imitation, Classification and RegressionCode0
Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights—0
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
Explainable deep learning improves human mental models of self-driving cars—0
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving—0
CARLA2Real: a tool for reducing the sim2real gap in CARLA simulatorCode2
Trustworthy XAI and Application—0
Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving—0
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities—0
Context-Aware Full Body Anonymization using Text-to-Image Diffusion ModelsCode0
Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous DrivingCode1
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering—0
Uncertainties of Latent Representations in Computer Vision—0
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