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 1381–1390 of 2605 papers

TitleStatusHype
Exact Set-valued Estimation using Constrained Convex Generators for uncertain Linear Systems—0
Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle PerceptionCode0
Non-Linear Estimation using the Weighted Average Consensus-Based Unscented Filtering for Various Vehicles Dynamics towards Autonomous Sensorless Design—0
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation—0
PAC-Based Formal Verification for Out-of-Distribution Data Detection—0
An Experimental Study of NOMA for Connected Autonomous Vehicles—0
Can listening to more neighbours help CAVs be faster and safer?—0
MonoPIC - A Monocular Low-Latency Pedestrian Intention Classification Framework for IoT Edges Using ID3 Modelled Decision TreesCode0
Adaptive Failure Search Using Critical States from Domain Experts—0
Hazard Analysis for Self-Adaptive Systems Using System-Theoretic Process Analysis—0
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Benchmark Results

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