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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2291–2300 of 2605 papers

TitleStatusHype
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning—0
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoVCode0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
Towards Assume-Guarantee Profiles for Autonomous Vehicles—0
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learningCode0
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data—0
ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction—0
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks—0
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles—0
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results—0
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Benchmark Results

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