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 4126–4150 of 6092 papers

TitleStatusHype
Fixed-Point Code Synthesis For Neural Networks—0
Ad-datasets: a meta-collection of data sets for autonomous drivingCode1
Autonomous Driving on Curvy Roads Without Reliance on Frenet Frame: A Cartesian-Based Trajectory Planning MethodCode2
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving—0
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation—0
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification—0
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks—0
A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving—0
Few-Shot Backdoor Attacks on Visual Object TrackingCode1
A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms—0
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds—0
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions—0
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving—0
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study—0
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities—0
Adaptive Instance Distillation for Object Detection in Autonomous Driving—0
Motion Estimation and Compensation in Automotive MIMO SAR—0
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving—0
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT—0
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic ContradictionCode1
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection—0
Lifelong Learning MetricsCode1
Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving—0
Object Detection in Autonomous Vehicles: Status and Open Challenges—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