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 1941–1950 of 2605 papers

TitleStatusHype
Aggregate Modeling and Equilibrium Analysis of the Crowdsourcing Market for Autonomous Vehicles—0
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement—0
SCOUT: Socially-COnsistent and UndersTandable Graph Attention Network for Trajectory Prediction of Vehicles and VRUs—0
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering MediaCode0
Object Removal Attacks on LiDAR-based 3D Object Detectors—0
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based NetworksCode0
Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles—0
Fusion of neural networks, for LIDAR-based evidential road mapping—0
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles—0
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning—0
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Benchmark Results

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