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 2226–2250 of 6092 papers

TitleStatusHype
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving—0
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation—0
LHPF: Look back the History and Plan for the Future in Autonomous Driving—0
DECODE: Domain-aware Continual Domain Expansion for Motion PredictionCode0
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving—0
CoA: Chain-of-Action for Generative Semantic LabelsCode0
The Context of Crash Occurrence: A Complexity-Infused Approach Integrating Semantic, Contextual, and Kinematic Features—0
Generating Out-Of-Distribution Scenarios Using Language Models—0
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged RoadsCode0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion—0
SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models—0
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models—0
One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception—0
Characterized Diffusion Networks for Enhanced Autonomous Driving Trajectory Prediction—0
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation—0
Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception—0
EMD: Explicit Motion Modeling for High-Quality Street Gaussian Splatting—0
Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse WeatherCode0
Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data—0
SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving—0
FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction—0
MSSF: A 4D Radar and Camera Fusion Framework With Multi-Stage Sampling for 3D Object Detection in Autonomous Driving—0
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications—0
LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation—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