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 1521–1530 of 2605 papers

TitleStatusHype
Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison—0
CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement LearningCode1
5G enabled Mobile Edge Computing security for Autonomous Vehicles—0
TPC: Transformation-Specific Smoothing for Point Cloud ModelsCode0
Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic EnvironmentsCode1
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of VehiclesCode2
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study—0
A Cooperation-Aware Lane Change Method for Autonomous Vehicles—0
Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation—0
Survey and Systematization of 3D Object Detection Models and Methods—0
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Benchmark Results

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