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 4376–4400 of 6092 papers

TitleStatusHype
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study—0
Are We Ready for Driver-less Vehicles? Security vs. Privacy- A Social Perspective—0
Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving?—0
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis—0
A Robust Attack: Displacement Backdoor Attack—0
Artificial Behavior Intelligence: Technology, Challenges, and Future Directions—0
Artificial Intelligence Methods in In-Cabin Use Cases: A Survey—0
Artificial Intelligence Security Competition (AISC)—0
A Rule-Based Behaviour Planner for Autonomous Driving—0
A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems—0
A Safe Control Architecture Based on a Model Predictive Control Supervisor for Autonomous Driving—0
A Safe Control Architecture Based on Robust Model Predictive Control for Autonomous Driving—0
A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model—0
A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms—0
ASAP: Accurate semantic segmentation for real time performance—0
A Scenario-Based Development Framework for Autonomous Driving—0
A Sensitivity Analysis Approach for Evaluating a Radar Simulation for Virtual Testing of Autonomous Driving Functions—0
A Simple Baseline for Supervised Surround-view Depth Estimation—0
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning—0
ASL Recognition with Metric-Learning based Lightweight Network—0
A Software Architecture for Autonomous Vehicles: Team LRM-B Entry in the First CARLA Autonomous Driving Challenge—0
Assessing Drivers' Situation Awareness in Semi-Autonomous Vehicles: ASP based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection—0
Assessing Systematic Weaknesses of DNNs using Counterfactuals—0
Assisted Robust Reward Design—0
Assume/Guarantee Contracts for Dynamical Systems: Theory and Computational Tools—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