SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Showing 18511900 of 6092 papers

TitleStatusHype
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning0
Ego Vehicle Speed Estimation using 3D Convolution with Masked Attention0
BEV-Guided Multi-Modality Fusion for Driving Perception0
Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds0
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors0
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving0
Exploring Semi-Supervised Learning for Online Mapping0
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making0
Eliminating Backdoors in Neural Code Models for Secure Code Understanding0
Ellipse Loss for Scene-Compliant Motion Prediction0
Embedded Acoustic Intelligence for Automotive Systems0
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection0
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula0
Embodied Laser Attack:Leveraging Scene Priors to Achieve Agent-based Robust Non-contact Attacks0
Embodied AI-Driven Operation of Smart Cities: A Concise Review0
FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing0
Embracing Single Stride 3D Object Detector with Sparse Transformer0
EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting0
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection0
Emergency Vehicles Audio Detection and Localization in Autonomous Driving0
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy0
An Adversarial Super-Resolution Remedy for Radar Design Trade-offs0
DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving0
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding0
BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation0
AD^2-Bench: A Hierarchical CoT Benchmark for MLLM in Autonomous Driving under Adverse Conditions0
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning0
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks0
Empowering Autonomous Driving with Large Language Models: A Safety Perspective0
Camera Agnostic Two-Head Network for Ego-Lane Inference0
DPPD: Deformable Polar Polygon Object Detection0
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving0
Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card0
Enabling Next-Generation V2X Perception: Wireless Rigid Body Localization and Tracking0
Enabling Robots to Communicate their Objectives0
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections0
Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets0
An advanced YOLOv3 method for small object detection0
3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection0
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN0
End-to-end Autonomous Driving using Deep Learning: A Systematic Review0
Anomaly Detection in Radar Data Using PointNets0
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving0
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving0
End-to-end Deep Object Tracking with Circular Loss Function for Rotated Bounding Box0
End-to-End Deep Reinforcement Learning for Lane Keeping Assist0
CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion0
End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning0
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance0
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified