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 3776–3800 of 6092 papers

TitleStatusHype
PALF: Pre-Annotation and Camera-LiDAR Late Fusion for the Easy Annotation of Point Clouds—0
WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural LanguageCode0
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges—0
SceneCalib: Automatic Targetless Calibration of Cameras and Lidars in Autonomous Driving—0
Learning Residual Model of Model Predictive Control via Random Forests for Autonomous Driving—0
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation—0
RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking—0
Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field—0
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation—0
Physics-Inspired Interpretability Of Machine Learning Models—0
DPPD: Deformable Polar Polygon Object Detection—0
Training Strategies for Vision Transformers for Object Detection—0
Learning Stability Attention in Vision-based End-to-end Driving Policies—0
High-resolution tomographic reconstruction of optical absorbance through scattering media using neural fields—0
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild—0
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point CloudsCode0
Re-Evaluating LiDAR Scene Flow for Autonomous Driving—0
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene UnderstandingCode0
USTC FLICAR: A Sensors Fusion Dataset of LiDAR-Inertial-Camera for Heavy-duty Autonomous Aerial Work Robots—0
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators—0
Online Distillation with Continual Learning for Cyclic Domain ShiftsCode0
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving—0
Online Lane Graph Extraction from Onboard Video—0
Multi-Agent Reachability Calibration with Conformal Prediction—0
One Training for Multiple Deployments: Polar-based Adaptive BEV Perception for Autonomous Driving—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