MR3D-Net: Dy­namic Multi-Res­o­lu­tion 3D Sparse Voxel Grid Fu­sion for Li­DAR-Based Col­lec­tive Per­cep­tion

Key­words: Col­lec­tive Per­cep­tion, Data Fu­sion, Li­DAR-Based Ob­ject De­tec­tion

Col­lec­tive Per­cep­tion Datasets for Au­tonomous Dri­ving: A Com­pre­hen­sive Re­view

Ro­bust Local and Co­op­er­a­tive Per­cep­tion Under Vary­ing En­vi­ron­men­tal Con­di­tions

LSM: A Com­pre­hen­sive Met­ric for As­sess­ing the Safety of Lane De­tec­tion Sys­tems in Au­tonomous Dri­ving

Ac­count­ing for the Spe­cial Role of In­fra­struc­ture-as­sisted Col­lec­tive Per­cep­tion

Key­words: Col­lec­tive Per­cep­tion, Data Fu­sion, RSU, V2X

Im­pacts of Image Com­pres­sion on the De­tec­tion Qual­ity of a Novel Real-Time Image Pro­cess­ing Plat­form

En­hanc­ing Ro­bust­ness of Li­DAR-Based Per­cep­tion in Ad­verse Weather Using Point Cloud Aug­men­ta­tions

Key­words: Ro­bust Per­cep­tion, LiDAR Ob­ject De­tec­tion, Data Aug­men­ta­tion, Ad­verse Weather

Col­lec­tive PV-RCNN: A Novel Fu­sion Tech­nique using Col­lec­tive De­tec­tions for En­hanced Local Li­DAR-Based Per­cep­tion

Key­words: Col­lec­tive Per­cep­tion, Data Fu­sion, Li­DAR-Based Ob­ject De­tec­tion

An­a­lyz­ing track man­age­ment strate­gies for multi ob­ject track­ing in co­op­er­a­tive au­tonomous dri­ving sce­nar­ios

CoLD Fu­sion: A Real-Time Ca­pa­ble Spline-Based Fu­sion Al­go­rithm for Col­lec­tive Lane De­tec­tion

Key­words: Lane De­tec­tion, Col­lec­tive Per­cep­tion, Au­tonomous Dri­ving, Data Fu­sion

En­vi­ron­ment-aware Op­ti­miza­tion of Track-to-Track Fu­sion for Col­lec­tive Per­cep­tion

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Sim­u­lat­ing Re­al­is­tic Rain, Snow, and Fog Vari­a­tions For Com­pre­hen­sive Per­for­mance Char­ac­ter­i­za­tion of LiDAR Per­cep­tion

To­wards Re­al­is­tic Eval­u­a­tion of Col­lec­tive Per­cep­tion for Con­nected and Au­to­mated Dri­ving

Aug­ment­ing Image Data Sets With Water Spray Caused by Ve­hi­cles on Wet Roads

A Com­pre­hen­sive Safety Met­ric to Eval­u­ate Per­cep­tion in Au­tonomous Sys­tems

Key­words: Mea­sure­ment, Safety, Ob­ject de­tec­tion, Au­tonomous ve­hi­cles, Roads, Real-time sys­tems, Bench­mark test­ing

Col­lec­tive Per­cep­tion: A Safety Per­spec­tive

Key­words: col­lec­tive per­cep­tion, co­op­er­a­tive per­cep­tion, en­vi­ron­men­tal per­cep­tion, V2X com­mu­ni­ca­tion

En­vi­ron­ment-aware De­vel­op­ment of Ro­bust Vi­sion-based Co­op­er­a­tive Per­cep­tion Sys­tems

To­wards Ro­bust CNN-Based Ob­ject De­tec­tion through Aug­men­ta­tion with Syn­thetic Rain Vari­a­tions

Sim­u­lat­ing Photo-Re­al­is­tic Snow and Fog on Ex­ist­ing Im­ages for En­hanced CNN Train­ing and Eval­u­a­tion

Ren­der­ing Phys­i­cally Cor­rect Rain­drops on Wind­shields for Ro­bust­ness Ver­i­fi­ca­tion of Cam­era-based Ob­ject Recog­ni­tion

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