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 2251–2275 of 6092 papers

TitleStatusHype
RSUD20K: A Dataset for Road Scene Understanding In Autonomous DrivingCode1
UniVision: A Unified Framework for Vision-Centric 3D PerceptionCode0
Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation—0
Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning—0
Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention PredictionCode1
Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook—0
Personalized Reinforcement Learning with a Budget of PoliciesCode0
VLP: Vision Language Planning for Autonomous Driving—0
Latency-aware Road Anomaly Segmentation in Videos: A Photorealistic Dataset and New Metrics—0
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections—0
Effects of Multimodal Explanations for Autonomous Driving on Driving Performance, Cognitive Load, Expertise, Confidence, and Trust—0
Recursively Feasible Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty—0
DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving—0
NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation—0
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAMCode2
WidthFormer: Toward Efficient Transformer-based BEV View TransformationCode2
UFO: Unidentified Foreground Object Detection in 3D Point Cloud—0
Reconfigurable Holographic Surface Aided Wireless Simultaneous Localization and Mapping—0
Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos—0
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous DrivingCode1
DistFormer: Enhancing Local and Global Features for Monocular Per-Object Distance EstimationCode0
Transferable Learned Image Compression-Resistant Adversarial Perturbations—0
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction—0
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision—0
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation—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