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 14011425 of 6092 papers

TitleStatusHype
TripleMixer: A 3D Point Cloud Denoising Model for Adverse WeatherCode2
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems0
CV-MOS: A Cross-View Model for Motion SegmentationCode0
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation0
Making Large Language Models Better Planners with Reasoning-Decision Alignment0
AdaOcc: Adaptive-Resolution Occupancy Prediction0
CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track0
General Intelligent Imaging and Uncertainty Quantification by Deterministic Diffusion Model0
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model0
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection0
Can LLMs Understand Social Norms in Autonomous Driving Games?0
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation0
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions0
Multimodal Foundational Models for Unsupervised 3D General Obstacle Detection0
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems0
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive ReorderingCode0
Open 3D World in Autonomous Driving0
MV-MOS: Multi-View Feature Fusion for 3D Moving Object SegmentationCode0
Privacy-preserving Universal Adversarial Defense for Black-box Models0
No Need to Sacrifice Data Quality for Quantity: Crowd-Informed Machine Annotation for Cost-Effective Understanding of Visual Data0
CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving0
Multi-Agent Reinforcement Learning for Autonomous Driving: A SurveyCode5
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models0
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous DrivingCode0
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based CamerasCode0
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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