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 811820 of 2605 papers

TitleStatusHype
Adaptive Stress Testing for Autonomous Vehicles0
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout0
Elevated LiDAR Placement under Energy and Throughput Capacity Constraints0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments0
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review0
Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC0
Deep learning based infrared small object segmentation: Challenges and future directions0
Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions0
Blending Data-Driven Priors in Dynamic Games0
Automatic Testing With Reusable Adversarial Agents0
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Benchmark Results

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