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 1351–1400 of 6092 papers

TitleStatusHype
Evaluating Low-Resource Lane Following Algorithms for Compute-Constrained Automated VehiclesCode0
Incorporating dense metric depth into neural 3D representations for view synthesis and relighting—0
Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving—0
TLD: A Vehicle Tail Light signal Dataset and Benchmark—0
Local Map Construction with SDMap: A Comprehensive Survey—0
A Learnable Color Correction Matrix for RAW Reconstruction—0
GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Driving—0
Improved Single Camera BEV Perception Using Multi-Camera Training—0
TASAR: Transfer-based Attack on Skeletal Action RecognitionCode1
Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic EnvironmentsCode1
DiVE: DiT-based Video Generation with Enhanced Control—0
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsCode2
An Investigation of Denial of Service Attacks on Autonomous Driving Software and Hardware in Operation—0
From Bird's-Eye to Street View: Crafting Diverse and Condition-Aligned Images with Latent Diffusion Model—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
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling—0
Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction—0
Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving—0
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsamplingCode1
Image-to-Lidar Relational Distillation for Autonomous Driving Data—0
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous DrivingCode1
Enhancing Vectorized Map Perception with Historical Rasterized MapsCode2
Study of Dropout in PointPillars with 3D Object Detection—0
Make Your ViT-based Multi-view 3D Detectors Faster via Token CompressionCode2
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