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 1091–1100 of 2605 papers

TitleStatusHype
On the Robustness of Segment Anything—0
Energy-based Detection of Adverse Weather Effects in LiDAR DataCode1
CUEING: a lightweight model to Capture hUman attEntion In driviNG—0
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving—0
survAIval: Survival Analysis with the Eyes of AI—0
Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map—0
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving—0
Learning Pedestrian Actions to Ensure Safe Autonomous Driving—0
Testing of Deep Reinforcement Learning Agents with Surrogate ModelsCode0
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics—0
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Benchmark Results

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