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 1701–1725 of 6092 papers

TitleStatusHype
DeTra: A Unified Model for Object Detection and Trajectory Forecasting—0
Frequency-based Matcher for Long-tailed Semantic SegmentationCode1
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social ExperiencesCode2
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection—0
Enhanced Automotive Object Detection via RGB-D Fusion in a DiffusionDet Framework—0
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane PriorsCode2
Prompt-based Visual Alignment for Zero-shot Policy Transfer—0
Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts—0
Task-Oriented Wireless Communications for Collaborative Perception in Intelligent Unmanned Systems—0
AD-H: Autonomous Driving with Hierarchical AgentsCode0
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking—0
Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models—0
Radar Spectra-Language Model for Automotive Scene Parsing—0
Decoupling of neural network calibration measures—0
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between AgentsCode0
REvolve: Reward Evolution with Large Language Models using Human Feedback—0
Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning—0
Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation—0
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions—0
Sensitivity-Informed Augmentation for Robust Segmentation—0
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers—0
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
Data Quality in Edge Machine Learning: A State-of-the-Art Survey—0
2nd Place Solution for PVUW Challenge 2024: Video Panoptic 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