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 2526–2550 of 6092 papers

TitleStatusHype
Improved Single Camera BEV Perception Using Multi-Camera Training—0
Incorporating dense metric depth into neural 3D representations for view synthesis and relighting—0
DiVE: DiT-based Video Generation with Enhanced Control—0
An Investigation of Denial of Service Attacks on Autonomous Driving Software and Hardware in Operation—0
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling—0
Development of Occupancy Prediction Algorithm for Underground Parking Lots—0
CyberCortex.AI: An AI-based Operating System for Autonomous Robotics and Complex Automation—0
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction—0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model—0
Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving—0
Image-to-Lidar Relational Distillation for Autonomous Driving Data—0
Study of Dropout in PointPillars with 3D Object Detection—0
Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations—0
Transient Fault Tolerant Semantic Segmentation for Autonomous DrivingCode0
RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning—0
NanoMVG: USV-Centric Low-Power Multi-Task Visual Grounding based on Prompt-Guided Camera and 4D mmWave Radar—0
ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models—0
How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception—0
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving—0
BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous DrivingCode0
Semantic Communication for Cooperative Perception using HARQ—0
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic SegmentationCode0
Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graph—0
GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video Generative Model—0
Learning-based Multi-View Stereo: A Survey—0
Show:102550
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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