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

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Showing 1401–1450 of 6092 papers

TitleStatusHype
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training—0
TripleMixer: A 3D Point Cloud Denoising Model for Adverse WeatherCode2
CV-MOS: A Cross-View Model for Motion SegmentationCode0
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
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection—0
Can LLMs Understand Social Norms in Autonomous Driving Games?—0
Multimodal Foundational Models for Unsupervised 3D General Obstacle Detection—0
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation—0
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions—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
Open 3D World in Autonomous Driving—0
MV-MOS: Multi-View Feature Fusion for 3D Moving Object SegmentationCode0
Privacy-preserving Universal Adversarial Defense for Black-box 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
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous DrivingCode0
Multi-Agent Reinforcement Learning for Autonomous Driving: A SurveyCode5
Edge-Cloud Collaborative Motion Planning for Autonomous Driving with Large Language Models—0
OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based CamerasCode0
HybridOcc: NeRF Enhanced Transformer-based Multi-Camera 3D Occupancy Prediction—0
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
Diffusion Model for Planning: A Systematic Literature Review—0
PriorMapNet: Enhancing Online Vectorized HD Map Construction with Priors—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
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous DrivingCode0
A Survey of Trojan Attacks and Defenses to Deep Neural Networks—0
Learned Multimodal Compression for Autonomous Driving—0
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts—0
Enhancing Expressway Ramp Merge Safety and Efficiency via Spatiotemporal Cooperative Control—0
Co-Fix3D: Enhancing 3D Object Detection with Collaborative RefinementCode1
LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image—0
Panacea+: Panoramic and Controllable Video Generation for Autonomous DrivingCode3
IMGCN: Interpretable Masked Graph Convolution Network for Pedestrian Trajectory PredictionCode1
A lightweight YOLOv5-FFM model for occlusion pedestrian detection—0
Exploring Domain Shift on Radar-Based 3D Object Detection Amidst Diverse Environmental Conditions—0
FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving—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
DeepInteraction++: Multi-Modality Interaction for Autonomous DrivingCode3
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