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

Showing 726750 of 6092 papers

TitleStatusHype
OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal 3D DataCode1
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose EncodingCode1
Multi‑camera trajectory matching based on hierarchical clustering and constraintsCode1
LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task LearningCode1
LiDAR-based 4D Occupancy Completion and ForecastingCode1
SoTTA: Robust Test-Time Adaptation on Noisy Data StreamsCode1
JM3D & JM3D-LLM: Elevating 3D Understanding with Joint Multi-modal CuesCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous DrivingCode1
DARTH: Holistic Test-time Adaptation for Multiple Object TrackingCode1
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous DrivingCode1
TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic SegmentationCode1
PC-NeRF: Parent-Child Neural Radiance Fields under Partial Sensor Data Loss in Autonomous Driving EnvironmentsCode1
Offline Tracking with Object PermanenceCode1
Streaming Motion Forecasting for Autonomous DrivingCode1
Autonomous Driving using Spiking Neural Networks on Dynamic Vision Sensor Data: A Case Study of Traffic Light Change DetectionCode1
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman FilterCode1
CLRmatchNet: Enhancing Curved Lane Detection with Deep Matching ProcessCode1
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge DistillationCode1
Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign RecognitionCode1
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous DrivingCode1
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaCode1
Distribution-Aware Continual Test-Time Adaptation for Semantic SegmentationCode1
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Benchmark Results

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