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 301–325 of 6092 papers

TitleStatusHype
CaRL: Learning Scalable Planning Policies with Simple RewardsCode2
Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles—0
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling—0
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving—0
Circinus: Efficient Query Planner for Compound ML Serving—0
SAGA: Semantic-Aware Gray color Augmentation for Visible-to-Thermal Domain Adaptation across Multi-View Drone and Ground-Based Vision SystemsCode1
Improving Human-AI Coordination through Online Adversarial Training and Generative Models—0
Adaptive Field Effect Planner for Safe Interactive Autonomous Driving on Curved Roads—0
SMTT: Novel Structured Multi-task Tracking with Graph-Regularized Sparse Representation for Robust Thermal Infrared Target Tracking—0
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video UnderstandingCode0
Lightweight Road Environment Segmentation using Vector Quantization—0
ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision—0
LMPOcc: 3D Semantic Occupancy Prediction Utilizing Long-Term Memory Prior from Historical Traversals—0
LangCoop: Collaborative Driving with LanguageCode2
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving SafetyCode0
Collaborative Perception Datasets for Autonomous Driving: A ReviewCode1
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving—0
Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance—0
UncAD: Towards Safe End-to-end Autonomous Driving via Online Map UncertaintyCode1
Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks—0
Contract-based hierarchical control using predictive feasibility value functions—0
GATE3D: Generalized Attention-based Task-synergized Estimation in 3D*—0
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
PatrolVision: Automated License Plate Recognition in the wild—0
Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles—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