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 1376–1400 of 6092 papers

TitleStatusHype
ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models—0
RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning—0
Transient Fault Tolerant Semantic Segmentation for Autonomous DrivingCode0
NanoMVG: USV-Centric Low-Power Multi-Task Visual Grounding based on Prompt-Guided Camera and 4D mmWave Radar—0
How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception—0
Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations—0
UTrack: Multi-Object Tracking with Uncertain DetectionsCode2
Semantic Communication for Cooperative Perception using HARQ—0
DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving—0
PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-ViewCode1
BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous DrivingCode0
A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future DirectionsCode1
RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured EnvironmentsCode2
GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video Generative Model—0
Str-L Pose: Integrating Point and Structured Line for Relative Pose Estimation in Dual-Graph—0
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic SegmentationCode0
Drone-assisted Road Gaussian Splatting with Cross-view UncertaintyCode2
T-FAKE: Synthesizing Thermal Images for Facial LandmarkingCode1
Panoptic Perception for Autonomous Driving: A Survey—0
Learning-based Multi-View Stereo: A Survey—0
Adversarial Manhole: Challenging Monocular Depth Estimation and Semantic Segmentation Models with Patch AttackCode0
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving—0
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection—0
FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation—0
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation—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