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 4126–4150 of 6092 papers

TitleStatusHype
Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations—0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap—0
Optimal Control for Platooning in Vehicular Networks—0
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model—0
Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling—0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
Cross-Modality Domain Adaptation for Freespace Detection: A Simple yet Effective Baseline—0
An Active Learning Reliability Method for Systems with Partially Defined Performance FunctionsCode0
MOTSLAM: MOT-assisted monocular dynamic SLAM using single-view depth estimation—0
Domain Adaptation for Unknown Image Distortions in Instance Segmentation—0
ASAP: Accurate semantic segmentation for real time performance—0
Efficient Bayes Inference in Neural Networks through Adaptive Importance SamplingCode0
Learning-Based Adaptive Optimal Control of Linear Time-Delay Systems: A Policy Iteration Approach—0
Transformers for Object Detection in Large Point Clouds—0
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications—0
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving—0
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations—0
Leveraging machine learning for less developed languages: Progress on Urdu text detection—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
How GPT-3 responds to different publics on climate change and Black Lives Matter: A critical appraisal of equity in conversational AI—0
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection—0
ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals—0
Design of Automatic Driving Safety Level and Positioning Accuracy—0
Gradient Optimization for Single-State RMDPs—0
From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera Fusion—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