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 2121–2130 of 2605 papers

TitleStatusHype
Unsupervised Abnormality Detection Using Heterogeneous Autonomous Systems—0
A Survey on 3D LiDAR Localization for Autonomous Vehicles—0
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training—0
PointNet on FPGA for Real-Time LiDAR Point Cloud Processing—0
Reinforcement LearningCode0
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images—0
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles—0
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path PredictionCode0
CRUDE: Calibrating Regression Uncertainty Distributions Empirically—0
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic—0
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Benchmark Results

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