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 2381–2390 of 2605 papers

TitleStatusHype
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks—0
A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—0
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments—0
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios—0
Multi-agent estimation and filtering for minimizing team mean-squared error—0
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles—0
Learning Accurate, Comfortable and Human-like Driving—0
nuScenes: A multimodal dataset for autonomous drivingCode2
Affordance Learning In Direct Perception for Autonomous Driving—0
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Benchmark Results

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