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 1551–1575 of 2605 papers

TitleStatusHype
Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time CapabilityCode0
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature—0
Learning Relaxation for Multigrid—0
Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery—0
CheckINN: Wide Range Neural Network Verification in Imandra (Extended)—0
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic ScenariosCode0
VTrackIt: A Synthetic Self-Driving Dataset with Infrastructure and Pooled Vehicle Information—0
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers—0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation—0
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems—0
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections—0
PAC Prediction Sets for Meta-Learning—0
Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithmCode0
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles—0
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning—0
Keeping Less is More: Point Sparsification for Visual SLAM—0
Data generation using simulation technology to improve perception mechanism of autonomous vehicles—0
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning—0
Learning Citywide Patterns of Life from Trajectory Monitoring—0
Improving Worst Case Visual Localization Coverage via Place-specific Sub-selection in Multi-camera Systems—0
Verifiable Goal Recognition for Autonomous Driving with OcclusionsCode0
Traffic Management of Autonomous Vehicles using Policy Based Deep Reinforcement Learning and Intelligent Routing—0
Monitoring Shortcut Learning using Mutual Information—0
Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation—0
Cooperative Control in Eco-Driving of Electric Connected and Autonomous Vehicles in an Un-Signalized Urban Intersection—0
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Benchmark Results

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