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

Showing 501510 of 2605 papers

TitleStatusHype
JCR70: A Low-Complexity Millimeter-Wave Proof-of-Concept Platform for A Fully-Digital MIMO Joint Communication-RadarCode0
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement LearningCode0
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic SegmentationCode0
No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARsCode0
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML SystemsCode0
Intention Recognition of Pedestrians and Cyclists by 2D Pose EstimationCode0
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
Interpretable Safety Validation for Autonomous VehiclesCode0
Bayesian Learning-Based Adaptive Control for Safety Critical SystemsCode0
Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial VehiclesCode0
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Benchmark Results

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