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 3476–3500 of 6092 papers

TitleStatusHype
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks—0
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors—0
HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving—0
Designs and Implementations in Neural Network-based Video Coding—0
Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving—0
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection—0
EANet: Expert Attention Network for Online Trajectory Prediction—0
Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception—0
Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems—0
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving—0
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation—0
PBP: Path-based Trajectory Prediction for Autonomous Driving—0
FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera imagesCode0
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions—0
Traffic Light Recognition using Convolutional Neural Networks: A Survey—0
Diffusion-based 3D Object Detection with Random Boxes—0
Dense Object Grounding in 3D Scenes—0
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges—0
Snow Removal for LiDAR Point Clouds with Spatio-temporal Conditional Random FieldsCode0
Adv3D: Generating 3D Adversarial Examples for 3D Object Detection in Driving Scenarios with NeRF—0
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object DetectionCode0
MS23D: A 3D Object Detection Method Using Multi-Scale Semantic Feature Points to Construct 3D Feature Layer—0
BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic SegmentationCode0
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative PerceptionCode0
Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection—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