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 2551–2600 of 6092 papers

TitleStatusHype
Learning-based Multi-View Stereo: A Survey—0
Adversarial Manhole: Challenging Monocular Depth Estimation and Semantic Segmentation Models with Patch AttackCode0
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection—0
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving—0
FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation—0
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems—0
CV-MOS: A Cross-View Model for Motion SegmentationCode0
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training—0
Making Large Language Models Better Planners with Reasoning-Decision Alignment—0
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation—0
AdaOcc: Adaptive-Resolution Occupancy Prediction—0
CSS-Segment: 2nd Place Report of LSVOS Challenge VOS Track—0
General Intelligent Imaging and Uncertainty Quantification by Deterministic Diffusion Model—0
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model—0
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions—0
Can LLMs Understand Social Norms in Autonomous Driving Games?—0
Multimodal Foundational Models for Unsupervised 3D General Obstacle Detection—0
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection—0
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation—0
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems—0
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive ReorderingCode0
Privacy-preserving Universal Adversarial Defense for Black-box Models—0
MV-MOS: Multi-View Feature Fusion for 3D Moving Object SegmentationCode0
Open 3D World in Autonomous Driving—0
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous DrivingCode0
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models—0
No Need to Sacrifice Data Quality for Quantity: Crowd-Informed Machine Annotation for Cost-Effective Understanding of Visual Data—0
CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving—0
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based CamerasCode0
LOID: Lane Occlusion Inpainting and Detection for Enhanced Autonomous Driving Systems—0
MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation—0
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models—0
HybridOcc: NeRF Enhanced Transformer-based Multi-Camera 3D Occupancy Prediction—0
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous DrivingCode0
PriorMapNet: Enhancing Online Vectorized HD Map Construction with Priors—0
Diffusion Model for Planning: A Systematic Literature Review—0
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers—0
CoSEC: A Coaxial Stereo Event Camera Dataset for Autonomous Driving—0
Learned Multimodal Compression for Autonomous Driving—0
Enhancing Expressway Ramp Merge Safety and Efficiency via Spatiotemporal Cooperative Control—0
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts—0
A Survey of Trojan Attacks and Defenses to Deep Neural Networks—0
LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image—0
A lightweight YOLOv5-FFM model for occlusion pedestrian detection—0
FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving—0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions—0
Toward Pedestrian Head Tracking: A Benchmark Dataset and an Information Fusion Network—0
A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting—0
What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised HorizonCode0
Eliminating Backdoors in Neural Code Models for Secure Code Understanding—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