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

Showing 13711380 of 2605 papers

TitleStatusHype
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature0
Planning Reliability Assurance Tests for Autonomous Vehicles0
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models0
Platoon--assisted Vehicular Cloud in VANET: Vision and Challenges0
Plausibility Verification For 3D Object Detectors Using Energy-Based Optimization0
P-MapNet: Far-seeing Map Generator Enhanced by both SDMap and HDMap Priors0
Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison0
Point Cloud in the Air0
Point Cloud Segmentation Using Sparse Temporal Local Attention0
PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM0
Show:102550
← PrevPage 138 of 261Next →

Benchmark Results

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