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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.
MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
Policy Learning with a Language Bottleneck
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images
Enhancing Apparent Personality Trait Analysis with Cross-Modal Embeddings
A Feedback Linearized Model Predictive Control Strategy for Input-Constrained Self-Driving Cars
Minds, Brains, AI
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos
PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot
ENet-21: An Optimized light CNN Structure for Lane Detection
DiffSF: Diffusion Models for Scene Flow Estimation
Multi-Object Tracking with Camera-LiDAR Fusion for Autonomous Driving
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test
Distilling Adversarial Robustness Using Heterogeneous Teachers
Multi-class Temporal Logic Neural Networks
Enhanced Deep Q-Learning for 2D Self-Driving Cars: Implementation and Evaluation on a Custom Track Environment
Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection
Cross-Layer Performance Evaluation of C-V2X
Enhancing Surveillance Camera FOV Quality via Semantic Line Detection and Classification with Deep Hough Transform
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving
Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning
Nav-Q: Quantum Deep Reinforcement Learning for Collision-Free Navigation of Self-Driving Cars
Tactics2D: A Highly Modular and Extensible Simulator for Driving Decision-making
Deep Perspective Transformation Based Vehicle Localization on Bird's Eye View
Traffic Sign Recognition Using Local Vision Transformer
Dialogue-based generation of self-driving simulation scenarios using Large Language Models
LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator
F$^2$AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
Towards Long-Range 3D Object Detection for Autonomous Vehicles
Extract-Transform-Load for Video Streams
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