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 491–500 of 2605 papers

TitleStatusHype
Benchmarking 6DOF Outdoor Visual Localization in Changing ConditionsCode0
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object DetectionCode0
Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind SpotsCode0
Is attention to bounding boxes all you need for pedestrian action prediction?Code0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Learning a Lattice Planner Control Set for Autonomous VehiclesCode0
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoVCode0
CNN-based Lidar Point Cloud De-Noising in Adverse WeatherCode0
Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in CrossroadsCode0
In-Place Zero-Space Memory Protection for CNNCode0
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Benchmark Results

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