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

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Showing 1371–1380 of 2605 papers

TitleStatusHype
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLACode1
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
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning MonitoringCode1
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
CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal RelationshipsCode1
PAC Prediction Sets for Meta-Learning—0
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Benchmark Results

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