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 5501–5525 of 6092 papers

TitleStatusHype
Multi-Agent Connected Autonomous Driving using Deep Reinforcement LearningCode0
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network—0
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine—0
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network—0
H_ Model-free Reinforcement Learning with Robust Stability GuaranteeCode0
Detecting Driveable Area for Autonomous Vehicles—0
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation—0
Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach—0
DLA: Dense-Layer-Analysis for Adversarial Example Detection—0
SoildNet: Soiling Degradation Detection in Autonomous Driving—0
Multi Modal Semantic Segmentation using Synthetic Data—0
Sequential image processing methods for improving semantic video segmentation algorithms—0
GRIP: Graph-based Interaction-aware Trajectory PredictionCode0
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment—0
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving—0
Driving Datasets Literature Review—0
Identifying Unknown Instances for Autonomous Driving—0
Learning an Uncertainty-Aware Object Detector for Autonomous DrivingCode0
Winning the ICCV 2019 Learning to Drive Challenge—0
Learning Resilient Behaviors for Navigation Under Uncertainty—0
ALGAMES: A Fast Solver for Constrained Dynamic GamesCode0
Self-supervised classification of dynamic obstacles using the temporal information provided by videos—0
Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction—0
A Survey of Deep Learning Techniques for Autonomous Driving—0
Recurrent Attentive Neural Process for Sequential Data—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