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 5801–5825 of 6092 papers

TitleStatusHype
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving—0
Efficient Video Understanding via Layered Multi Frame-Rate Analysis—0
Seeing in the dark with recurrent convolutional neural networks—0
Urban Driving with Multi-Objective Deep Reinforcement LearningCode0
Simulated Autonomous Driving in a Realistic Driving Environment using Deep Reinforcement Learning and a Deterministic Finite State Machine—0
Exploit the Connectivity: Multi-Object Tracking with TrackletNetCode0
Evaluation of deep neural networks for traffic sign detection systemsCode0
Augmented LiDAR Simulator for Autonomous Driving—0
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control—0
Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving—0
nn-dependability-kit: Engineering Neural Networks for Safety-Critical Autonomous Driving SystemsCode0
Orthogonal Policy Gradient and Autonomous Driving Application—0
The Greedy Dirichlet Process Filter - An Online Clustering Multi-Target Tracker—0
Semi-Supervised Regression with Generative Adverserial Networks for End to End Learning in Autonomous Driving—0
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms—0
Deep Object-Centric Policies for Autonomous Driving—0
Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNNCode0
Satyam: Democratizing Groundtruth for Machine Vision—0
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning—0
Confidence Propagation through CNNs for Guided Sparse Depth RegressionCode0
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks—0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
Scalable End-to-End Autonomous Vehicle Testing via Rare-event SimulationCode0
Cross-Modal Attentional Context Learning for RGB-D Object Detection—0
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous DrivingCode0
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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