SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2076–2100 of 2605 papers

TitleStatusHype
Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Design—0
Adaptive LiDAR Sampling and Depth Completion using Ensemble VarianceCode0
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments—0
Integrated Longitudinal Speed Decision-Making and Energy Efficiency Control for Connected Electrified Vehicles—0
Regulating human control over autonomous systems—0
Zero-Error Tracking for Autonomous Vehicles through Epsilon-Trajectory Generation—0
Autonomy and Unmanned Vehicles Augmented Reactive Mission-Motion Planning Architecture for Autonomous Vehicles—0
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning—0
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study—0
Reinforcement Learning-Enabled Decision-Making Strategies for a Vehicle-Cyber-Physical-System in Connected Environment—0
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles—0
Decoding CNN based Object Classifier Using Visualization—0
Towards robust sensing for Autonomous Vehicles: An adversarial perspective—0
Multi-Intersection Traffic Management for Autonomous Vehicles via Distributed Mixed Integer Linear Programming—0
Elevated LiDAR Placement under Energy and Throughput Capacity Constraints—0
VRUNet: Multi-Task Learning Model for Intent Prediction of Vulnerable Road Users—0
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning—0
Monocular Vision based Crowdsourced 3D Traffic Sign Positioning with Unknown Camera Intrinsics and Distortion Coefficients—0
PathGAN: Local Path Planning with Attentive Generative Adversarial NetworksCode0
Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles—0
IMU Preintegrated Features for Efficient Deep Inertial Odometry—0
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles—0
DepthNet: Real-Time LiDAR Point Cloud Depth Completion for Autonomous VehiclesCode0
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML SystemsCode0
Falsification-Based Robust Adversarial Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified