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Self-Driving Cars
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Self-driving cars : the task of making a car that can drive itself without human guidance.
<span style="color:grey; opacity: 0.6">( Image credit: Learning a Driving Simulator )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Continual Hyperbolic Learning of Instances and Classes
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection
Robusto-1 Dataset: Comparing Humans and VLMs on real out-of-distribution Autonomous Driving VQA from Peru
Enhancing Autonomous Driving Safety with Collision Scenario Integration
Enhanced Neuromorphic Semantic Segmentation Latency through Stream Event
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
CLoCKDistill: Consistent Location-and-Context-aware Knowledge Distillation for DETRs
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy
On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression
Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving
Explainable deep learning improves human mental models of self-driving cars
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving
CARLA2Real: a tool for reducing the sim2real gap in CARLA simulator
Trustworthy XAI and Application
Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities
Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models
Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering
Uncertainties of Latent Representations in Computer Vision
Anomalous State Sequence Modeling to Enhance Safety in Reinforcement Learning
A Multi-Level Hierarchical Framework for the Classification of Weather Conditions and Hazard Prediction
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others
Weakly Supervised Test-Time Domain Adaptation for Object Detection
Acceleration method for generating perception failure scenarios based on editing Markov process
Trusting Semantic Segmentation Networks
UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles
Algorithm Selection for Optimal Multi-Agent Path Finding via Graph Embedding
Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs
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