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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1776–1800 of 6092 papers

TitleStatusHype
Semi-SD: Semi-Supervised Metric Depth Estimation via Surrounding Cameras for Autonomous DrivingCode0
Multi-Agent Deep Reinforcement Learning for Safe Autonomous Driving with RICS-Assisted MEC—0
Context-Aware Semantic Segmentation: Enhancing Pixel-Level Understanding with Large Language Models for Advanced Vision Applications—0
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation—0
LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset—0
Building Blocks for Robust and Effective Semi-Supervised Real-World Object Detection—0
ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation—0
Robust Lane Detection with Wavelet-Enhanced Context Modeling and Adaptive Sampling—0
Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving—0
AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents—0
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models—0
Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles—0
Multi-modality Anomaly Segmentation on the RoadCode0
Revisiting Outage for Edge Inference Systems—0
Enhancing Steering Estimation with Semantic-Aware GNNs—0
Temporal Action Detection Model Compression by Progressive Block Drop—0
R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception—0
Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving—0
How to Promote Autonomous Driving with Evolving Technology: Business Strategy and Pricing Decision—0
Nano-3D: Metasurface-Based Neural Depth Imaging—0
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
Panoptic-CUDAL Technical Report: Rural Australia Point Cloud Dataset in Rainy Conditions—0
Generating Multimodal Driving Scenes via Next-Scene Prediction—0
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving—0
DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling—0
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Benchmark Results

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