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 4176–4200 of 6092 papers

TitleStatusHype
AutoMine: An Unmanned Mine Dataset—0
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion PredictionCode2
Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation—0
LTP: Lane-Based Trajectory Prediction for Autonomous Driving—0
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation—0
Unifying Panoptic Segmentation for Autonomous Driving—0
BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement—0
LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection—0
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar NetworkCode1
An Intelligent Self-driving Truck System For Highway TransportationCode0
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
Few-shot Backdoor Defense Using Shapley Estimation—0
Pose Estimation of Specific Rigid Objects—0
Multi-Adversarial Safety Analysis for Autonomous Vehicles—0
Modified DDPG car-following model with a real-world human driving experience with CARLA simulator—0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection—0
An Empirical Study of Adder Neural Networks for Object Detection—0
Adversarial Attack for Asynchronous Event-based Data—0
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles—0
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects—0
A Survey on Interpretable Reinforcement Learning—0
Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLACode1
Lane Change Decision-Making through Deep Reinforcement LearningCode1
Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation—0
PandaSet: Advanced Sensor Suite Dataset 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