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 2201–2250 of 6092 papers

TitleStatusHype
A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions—0
Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous DrivingCode1
All-weather Multi-Modality Image Fusion: Unified Framework and 100k BenchmarkCode1
A Survey for Foundation Models in Autonomous Driving—0
SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism—0
Multi-agent Path Finding for Cooperative Autonomous DrivingCode1
Partial-Label Learning with a Reject OptionCode0
Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving—0
Fisheye Camera and Ultrasonic Sensor Fusion For Near-Field Obstacle Perception in Bird's-Eye-View—0
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting—0
Real-time Traffic Object Detection for Autonomous Driving—0
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity EnhancementCode2
Liquid Resistance Liquid Capacitance Networks—0
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets—0
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration—0
I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems—0
MF-MOS: A Motion-Focused Model for Moving Object SegmentationCode2
Data-driven Camera and Lidar Simulation Models for Autonomous Driving: A Review from Generative Models to Volume Renderers—0
DeFlow: Decoder of Scene Flow Network in Autonomous DrivingCode3
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous DrivingCode1
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction—0
GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist WorkflowCode1
You Only Look Bottom-Up for Monocular 3D Object Detection—0
DAM: Diffusion Activation Maximization for 3D Global ExplanationsCode0
Optimization-based motion primitive automata for autonomous driving—0
Unlocking Past Information: Temporal Embeddings in Cooperative Bird's Eye View Prediction—0
Unified Spatio-Temporal Tri-Perspective View Representation for 3D Semantic Occupancy Prediction—0
ADMap: Anti-disturbance framework for reconstructing online vectorized HD mapCode2
InverseMatrixVT3D: An Efficient Projection Matrix-Based Approach for 3D Occupancy PredictionCode1
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural CalibrationCode2
Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop TechnologiesCode2
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations—0
Large receptive field strategy and important feature extraction strategy in 3D object detection—0
Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality SignalsCode0
S^3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving—0
Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement LearningCode1
Episodic Reinforcement Learning with Expanded State-reward Space—0
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset—0
Deep Learning-based Embedded Intrusion Detection System for Automotive CAN—0
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN—0
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs—0
LangProp: A code optimization framework using Large Language Models applied to drivingCode2
Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset—0
Reconstructing the Invisible: Video Frame Restoration through Siamese Masked Conditional Variational Autoencoder—0
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security—0
Stream Query Denoising for Vectorized HD Map Construction—0
Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving—0
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and OpportunitiesCode3
Geo-locating Road Objects using Inverse Haversine Formula with NVIDIA Driveworks—0
Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey—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