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 4201–4225 of 6092 papers

TitleStatusHype
A Dynamic Data Driven Approach for Explainable Scene Understanding—0
A Dynamic Feature Interaction Framework for Multi-task Visual Perception—0
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments—0
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models—0
AEPHORA: AI/ML-Based Energy-Efficient Proactive Handover and Resource Allocation—0
Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks—0
A Fast and Robust Camera-IMU Online Calibration Method For Localization System—0
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning—0
Affordance as general value function: A computational model—0
Affordance Learning In Direct Perception for Autonomous Driving—0
A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarios—0
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving—0
A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving—0
A Framework for Learning Scoring Rules in Autonomous Driving Planning Systems—0
A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers—0
A Game-Theoretic Model of Human Driving and Application to Discretionary Lane-Changes—0
A Generalized Multi-Modal Fusion Detection Framework—0
A General Neural Network Hardware Architecture on FPGA—0
A General Pipeline for 3D Detection of Vehicles—0
A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields—0
AgentAlign: Misalignment-Adapted Multi-Agent Perception for Resilient Inter-Agent Sensor Correlations—0
AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning—0
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework—0
AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents—0
AgentThink: A Unified Framework for Tool-Augmented Chain-of-Thought Reasoning in Vision-Language Models for Autonomous Driving—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