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 1821–1830 of 2605 papers

TitleStatusHype
There and Back Again: Self-supervised Multispectral Correspondence Estimation—0
A Robust Road Vanishing Point Detection Adapted to the Real-World Driving ScenesCode0
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection—0
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety CagesCode0
Multi-Robot Routing with Time Windows: A Column Generation Approach—0
S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object DetectionCode1
3D-FFS: Faster 3D object detection with Focused Frustum Search in sensor fusion based networks—0
Gradient Policy on "CartPole" game and its' expansibility to F1Tenth Autonomous Vehicles—0
Multi-Object Tracking using Poisson Multi-Bernoulli Mixture Filtering for Autonomous Vehicles—0
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles—0
Show:102550
← PrevPage 183 of 261Next →

Benchmark Results

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