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 2131–2140 of 2605 papers

TitleStatusHype
Towards Automated Safety Coverage and Testing for Autonomous Vehicles with Reinforcement Learning—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review—0
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets—0
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research—0
High Precision Indoor Navigation for Autonomous Vehicles—0
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural NetworkCode0
Effects of Controller Heterogeneity on Autonomous Vehicle Traffic—0
RUHSNet: 3D Object Detection Using Lidar Data in Real TimeCode0
Online Parameter Estimation for Human Driver Behavior Prediction—0
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Benchmark Results

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