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 2351–2375 of 6092 papers

TitleStatusHype
Neurosymbolic Value-Inspired AI (Why, What, and How)—0
NeuroFlow: Development of lightweight and efficient model integration scheduling strategy for autonomous driving system—0
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
Personalized Autonomous Driving with Large Language Models: Field ExperimentsCode1
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free EnvironmentsCode2
DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving ScenesCode2
Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach—0
Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMixCode1
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning—0
Autonomous driving of trucks in off-road environment—0
Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object DiscoveryCode1
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous DrivingCode0
LMDrive: Closed-Loop End-to-End Driving with Large Language ModelsCode2
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Spatiotemporal Event Graphs for Dynamic Scene Understanding—0
Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning—0
Evaluation of Large Language Models for Decision Making in Autonomous Driving—0
NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup AnnotationsCode1
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object TrackingCode1
Interpretable Long Term Waypoint-Based Trajectory Prediction Model—0
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
Recent Advances in Deterministic Human Motion Prediction: A Review—0
Dynamic Adversarial Attacks on Autonomous Driving SystemsCode0
Camera-based 3D Semantic Scene Completion with Sparse Guidance NetworkCode1
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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